{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
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      "       2.68784079e-04]))\n",
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      "       1.84764978e-03, 1.84789547e-03, 1.84816739e-03, 1.84837252e-03,\n",
      "       1.84857169e-03, 1.84882692e-03, 1.84898077e-03, 1.84914774e-03,\n",
      "       1.84930159e-03, 1.84941131e-03, 1.84954250e-03, 1.84963314e-03,\n",
      "       1.84969755e-03, 1.84977030e-03, 1.84982158e-03, 1.84988956e-03,\n",
      "       1.84993369e-03, 1.84994323e-03, 1.85000048e-03, 1.85001598e-03,\n",
      "       1.85006726e-03, 1.85006249e-03, 1.85008515e-03, 1.85012213e-03,\n",
      "       1.85012093e-03, 1.85016148e-03, 1.85014479e-03, 1.85018176e-03,\n",
      "       1.85019130e-03, 1.85019130e-03, 1.85020323e-03, 1.85022350e-03,\n",
      "       1.85024020e-03, 1.85022827e-03, 1.85025332e-03, 1.85022827e-03,\n",
      "       1.85024616e-03, 1.85027359e-03, 1.85028075e-03, 1.85027717e-03,\n",
      "       1.85029029e-03, 1.85030460e-03, 1.85031176e-03, 1.85031414e-03,\n",
      "       1.85033322e-03, 1.85033203e-03, 1.85033561e-03, 1.85032010e-03,\n",
      "       1.85034753e-03, 1.85032726e-03, 1.85036662e-03, 1.85036542e-03,\n",
      "       1.85036065e-03, 1.85038928e-03, 1.85037616e-03, 1.85038928e-03,\n",
      "       1.85039285e-03, 1.85039763e-03, 1.85043937e-03, 1.85039882e-03,\n",
      "       1.85040955e-03, 1.85042386e-03, 1.85042863e-03, 1.85042267e-03,\n",
      "       1.85039763e-03]))\n"
     ]
    },
    {
     "data": {
      "image/png": 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Cb926VZ199tnK5/OVO9jmN998o37729+q+Ph41aJFCzVp0qSowTaVsm73z8zMVImJiSo+Pl5dddVVat++fWWGOFBKqQcffFC1b99e6bpe7eEOVq1apS677DLVpk0b5XQ6VevWrdXw4cPVm2++aZeJDHGwdOnSqG3LG4Lhm2++UUOHDlVxcXEqOTlZ3XDDDep///tfmXKRwTbLU919KKXUV199pX7zm9+opKQk5fV61amnnqruu+++ar8ur7/+uho0aJCKjY1VsbGxqmvXrurWW29V27Zts8tEBtssz9FDHPz1r39VZ599tmrVqpXyeDyqc+fOaurUqSonJ6dadSpvsM2DBw+qSZMmqfbt29sDU44dO1YdOHCg3DqVFgqF1EsvvaTOOusslZiYqFwulzrppJPU+PHjywx/UN3PNeHBNitimqbq2LGjAtRDDz1UbplAIKD+/Oc/q9NOO015PB7VokUL1a9fP3X//feXea2EqC5NqUrys0KIZmHmzJncf//97N+/v8LBEoUQQtSM9IkSQgghhKgFCaKEEEIIIWpBgighhBBCiFqQPlFCCCGEELUgmSghhBBCiFqQIEoIIYQQohZksM16ZJomu3fvJj4+XqYaEEIIIZoIpRR5eXmkpqaWmW+zNAmi6tHu3btlYkshhBCiifrpp5/o0KFDhesliKpHkSkXfvrpJxISEhq5NkIIIYSojtzcXDp27GhfxysiQVQ9ijThJSQkSBAlhBBCNDFVdcWRjuVCCCGEELUgQZQQQgghRC1IECWEEEIIUQsSRAkhhBBC1IIEUUIIIYQQtSBBlBBCCCFELUgQJYQQQghRCxJECSGEEELUggRRQgghhBC1IEGUEEIIIUQtSBAlhBBCCFELEkQJIYQQQtSCBFHNVFHAaOwqCCGEEM2aBFHN0Nv/281pM1bwxoZdjV0VIYQQotmSIKoZ2vjTEUwF//n+UGNXRQghhGi2JIhqhgIhE4BvDxdUWGbXrl0sW7aM3NzchqqWEEII0axIENUM5QdCAGzYn0fIVOWWWbt2LZs2bWLz5s0NWTUhhBCi2ZAgqhkqDFmdypXf4HAoVG6ZvLw8AMlECSGEELUkQVQzVBxuziNgstcfLLdMfn4+UBJMCSGEEKJmJIhqhvxBK4jSFOzMKS63jARRQgghxLGRIKoZChim/fvOI4Vl1vv9fgKBAFASTAkhhBCiZiSIaob8oZKBNnflFJVZXzpwysvLQ6nyO58LIYQQomISRDVDkSEOAPbk+cusLx1EhUIhiovLb/ITQgghRMUkiGqGSgdRB6oIokD6RQkhhBC1cVwEUXPmzKFTp054vV4GDBjAF198UWn5pUuX0rVrV7xeLz179uS9996LWq+UYvr06bRr1w6fz8fQoUP57rvv7PU7d+4kMzOTtLQ0fD4fnTt3ZsaMGXY/oYhNmzZx1lln4fV66dixI48++mjdnXQ9Kt0n6nBBoMx6CaKEEEKIY9foQdSSJUuYMmUKM2bM4Msvv6RXr15kZGSwb9++cst/9tlnjBo1iszMTDZs2MCIESMYMWIEX331lV3m0Ucf5emnn2bu3Ll8/vnnxMbGkpGRYTdbbd26FdM0+etf/8rXX3/Nk08+ydy5c7n77rvtfeTm5nLBBRdw0kknsX79eh577DFmzpzJCy+8UL8vSB0Ihkr6OOUVShAlhBBC1AdNNXKv4gEDBvCrX/2KZ599FgDTNOnYsSO33XYbd911V5nyI0eOpKCggHfeecde9utf/5revXszd+5clFKkpqby+9//njvvvBOAnJwc2rZty4IFC7j66qvLrcdjjz3G888/zw8//ADA888/zz333EN2djZutxuAu+66i+XLl7N169ZqnVtubi6JiYnk5OSQkJBQ/RflGPV6aCU5+Vbw5Ez2sv3O86LWL1++nI0bN9rPzzvvPM4666wGq58QQghxPKvu9btRM1GBQID169czdOhQe5mu6wwdOpS1a9eWu83atWujygNkZGTY5Xfs2EF2dnZUmcTERAYMGFDhPsEKtFq2bBl1nLPPPtsOoCLH2bZtG4cPHy53H36/n9zc3KhHYwiVas4LFofK3H0XyUTFxsYCkokSQgghaqNRg6gDBw5gGAZt27aNWt62bVuys7PL3SY7O7vS8pGfNdnn9u3beeaZZ7jxxhurPE7pYxxt1qxZJCYm2o+OHTuWW66+hUo15+E3yC015AGUBFGpqamABFFCCCFEbTR6n6jG9vPPP3PhhRdy5ZVXcsMNNxzTvqZNm0ZOTo79+Omnn+qoljUTLJWJ0oKKn4ui+0VFgqh27doBEkQJIYQQtdGoQVRycjIOh4O9e/dGLd+7dy8pKSnlbpOSklJp+cjP6uxz9+7dnHPOOQwcOLBMh/GKjlP6GEfzeDwkJCREPRqaaSpMM7r57odSo5abpklBQQEgQZQQQghxLBo1iHK73fTr149Vq1bZy0zTZNWqVaSnp5e7TXp6elR5gJUrV9rl09LSSElJiSqTm5vL559/HrXPn3/+mSFDhtCvXz/mz5+Prke/FOnp6axZs4ZgsGQC35UrV3LqqafSokWL2p90PSs9vIFyaADsPFIyanlhYSFKKTRNs5snZdRyIYQQouYavTlvypQpvPjiiyxcuJAtW7Zw8803U1BQwPjx4wEYM2YM06ZNs8tPnjyZFStW8Pjjj7N161ZmzpzJunXrmDRpEgCapnHHHXfw0EMP8dZbb7F582bGjBlDamoqI0aMAEoCqF/84hf85S9/Yf/+/WRnZ0f1dbrmmmtwu91kZmby9ddfs2TJEp566immTJnScC9OLUQFUT4HAD+Vmvol0pQXExNjZ8pM06SwsOwce0IIIYSomLOxKzBy5Ej279/P9OnTyc7Opnfv3qxYscLOkmRlZUVliQYOHMiiRYu49957ufvuu+nSpQvLly+nR48edpk//OEPFBQUMHHiRI4cOcKgQYNYsWIFXq8XsDJK27dvZ/v27XTo0CGqPpGMTGJiIh988AG33nor/fr1Izk5menTpzNx4sT6fkmOSenRypXPAfkhsnNLRi2PNN3FxcXhdDqJiYmhsLCQ/Px8+249IYQQQlSt0ceJas4aY5yo3UeKGPinD1EaGKkxOH8u5LQ+bXl3ZH8ANmzYwJtvvknnzp257rrreP7559m7dy+jR4/ml7/8ZYPUUQghhDieNYlxokTdszNRuobXZyUaj+SX3J0Xac6Lj4+P+imdy4UQQoiakSCqmfGXCqKS4qyBQktP/RIJouLi4gAJooQQQojakiCqmSnJREHrOA8ARUUhe/3RQVTkpwRRQgghRM1IENXMBAxrdHKla6Qm+gBr6pcIyUQJIYQQdUOCqGamdHNep0TrbkTlNykIT/0iQZQQQghRNySIamZKdyxvn2BlojRD8fGmP5GbuylqiAOQIEoIIYSorUYfJ0rUrdJ9ouK9TnBoYCj+9/Mmko31BAKnA2WDqPz8fEzTLDNyuxBCCCHKJ1fMZsYesVzXcOsaLq81avneQBvy8v6H15uLy+XC47E6nUeCKRm1XAghhKgZCaKaGX/QCqKUruHWNDxeqy/UQX8rANq02UlcXByaZs2r53A47JHKpUlPCCGEqD4JopqZ0pkoJ0HcTiswylfWaOSt2/xAXFz09C7SL0oIIYSoOQmimpnSHcvzD/+bWLd1N55f+yXgJiYmj6SknKhtSveLEkIIIUT1SBDVzJTuWH5o/zskeqzsUk6BAfQCIC7+66htJBMlhBBC1JwEUc1MpDlP6RqGP4uW3gIA8gqDFBVaQZTTuQHTLBmAU0YtF0IIIWpOgqhmpvRgm05CdEyyAqSiwiA5Oe0JBjxALocPf2ZvI5koIYQQouYkiGpm/OGRydHBRYgOsdbkw6Fig/z8Ivbv7wRAdvab9jYSRAkhhBA1J4NtNjOBUPTdeb+Is4IoM2BwOK+A/Pw0UttvY/+BDzCMQhyOGAmiRJOjlEIpUJHfAaXC61D27yXly66LbFvye+kNSspz1Lqjdh21j6OPV7JNqYPWQKT40fsrb9+VlalovzWlyjlITY7bEKpTH1WNV6Cxzqumhy3vPakrVX3+wiPlVL2falaxvP11bBGD23n85nskiGpmAkc15/0iNoQCNAWr9ba0MGKINQpJNL7h26xX+UWbIXi9GppmkJ+fz2effUZsbKz9cLvduN1uXC4Xbre72Y9obpoKQykMU2EqRcgwCZoQNE2CpiJomBimsn43rXVGeF3IsLYNmiaGgpBhEjIVIaUwDGt5SIFhKgzTJBTe1lAlP81IebPkYdr1gVD4uakUpgmmMjFMopYpZZWNbKfCv5umilpnmuHgI7xvFd6HUoQfJduWfl4StESvJ2pd+I971PrSwU6pYEaV/j36olDecyHEiePO33Tm5j5pONyexq5KuSSIamYifaKUruEiiNflQnfrqIDJ1n1JQBJrV3W0ynwIOL5Bc4DmSEd3KF75+BC6fgBdV+iaia5ZPzUN6yegawpNA01TdnuwpoGG9QBQaNa3CgVK01DKWmNdBDXrG47SwhdVDTPyXIGJZm0XXmdf1Es9L9m21LKo9ZQcT5X9Ga5kyYNSP4WoB9X6eFXzm32t1Nm+a7mjqjZTtd91k9DUz//oujXQ38uPDrzHKc8W0Mt1CZ5OCSQN79wwB64mCaKamWK7T5SGgxC67uGawWm8uX4XhYUBzBAQsj79mgr/HrL+P1hbaoCjMareJKjIH5LSUaOG9U+p51rpiDIcdEaeW7+XLNNKldG08HtT+nn4p4YqeU7J+sgyHRXejzpqPUBkeck21nYqvF04OKZkeWQfYK2j1HrtqG2IHIOSc9C16Pra50VJnQjXiVIvISj08GsU2WfkdYyw62wfu0RJebPM8khdtaOuANHNCNFRdXlNDEdvb++/0otgba46Wkk9Ktm+7q695Z1Xzeut0KrcLrpMdY9R8nqUv67ifVfnNartudbVvo71M3Js6mo/JXuriYpiyE78wF5OIvhzPtpx2KwnQVQzU1xqnCgXQXTdw8PndeX2Hi14/vnniUmI4c47p5LnD3KoOMjBoiAHCos5WFjAkeIiCvx+8gMBCgIhioJBAoZJ0DAJGAaBkGk1O5lgKIUZboIqaeYB0/6TUvo/Y8kyrdQFLHKR1SmV1dIUjvCFVgf0cECia6BjWj817DKO8IVU10p+d9hlrGM4sMJCezlmuKyGM3w8R7i8A0ot08LPre2c4W0if6J1FDoaGlo4urKjpqifmh1Blb8++k/H0X9Gwpd+peypeqr+83T08Uq9E0qhaZX9ITr6WOVTigrKVLxdRfss/3haNcqUrVN1j1lqK+tYRzUblnceVe/r6PqUf0Gq6lzrSnVe13K2qmZ9qlOmJoFRBWsi6ewKypT3GtfkfSr/PdKq2EfZbWq3H1DKpNLXUoEyDOsbrqFQIRMVUihDQcgEDRzxbvRYZ1QEb/oNQvsKCe4rxCwMovtcOBLcOOI9OBJcmMUGwf2FhA4WW/spqXIFb5uG5tTR3Bo4dDRH+Keuobl0NKeG5nSguXRUyMQsDGIWhTALQ6iAiR7rxJHgwZHkwZnkBR2MI36MHD+hHD9mfhA9zoWrtQ9n6xh0r8M+rlLnkNg/iVYtu1h/pI8zEkQ1M8XBkkyUkxC6w2pHDgSsDuZWvyaNRJ+bRJ+btBaNVVMhhGjezOIQgZ/z0b1O9DgXjlgXmtMKNIL7CgnuKSC4O98KdooNVMBA+Q1U0MD0m9EBTiU0l46rfRzu1DgCu/MJ7MwFEksK+IEj5W+rx7vxdW1p9YksCNoPzeXAfVI87l8k4D4pAWcrb42/SAAoQ1lBV2VlqvEl6XglQVQzE+kTpetW9kfXrSDK7/cD4PEcn53zhBDieKGstHqFF38jx0/h//YTzC7A2SYGd2ocrvZxOGJdmIVBirYcomjzAYq/OwzGUU3HXgcqaJZZXimHhu5xoHmd6F4HuteJ5nWiggaBn/JRxSECO3PDwROggbtTAjG92+A5OZHQ3kL8P+URyMoluCsfzeskpmcyvp7JuE9KQNPrL4CpKoCCmmd5jycSRDUzkSDKoYebzPSymSghhDgRqJCJWWw1K5mFQcwC6yeAI9FqXnIkutHcDkL7i/D/kIP/hyP4f8jBLAzhaheLu2O89WgfRyArj8KN+/DvyCm32cuR4MbID4JZstKR5EEZVpYHU6GKw71PvU7cqbG42sXiSolFj3WhuR1obt0KmFwONI/D+r2SvkDKVIQOFBH4KY/gz/k4kjz4erXGmVjyhdnVOgZfj2SrfBPO+hyPJIhqZuwgyhHJSEUHUZKJEkI0RUZBEBUyccQ40VwlN78Y+QECWXnhRy5Gjh/Tb2AWh+ybaKrk1MotG/w5n+DP+RT8Z0+Zde5OCXg6JxHaX0hwdwGhA0UYudbfWVeKFbT4eibjahsLWMGOKg5h5AfRXDqOJE+dBDOaruFqE4OrTQz0a1t1eQmg6pQEUc1MZJwopx4dREWa8yQTJYQ4npjFIYq/O4LudeBKtZrESq8r+uqglf35/oid/dFcOnqM1ZnaOOKv8hia14Ee60KPceGIcaKU1SRn5PitzFBIgVPHc1I8npOT8JyciCPRQ2BXODj7KY/gnnycLb34erchpldrnC28Zc4jmF2AHuvC1TqmbB10DS3GqoNoPiSIamYiExA7dCP80/qPLs15QoiGokxFcE8B/u1HCOzKw5Howd0xDneHeBwtvWAoircdpnDjPoq2HIzKAjkSPbhSY9GcOkVbDkV3rtY1q0ksaGLkBOzFzjYxuH8Rj+cXCTjb+Kw+Q5GmMI+z0n45pj+EmRe0MkNHNZs5W3qJOb11tc5Z9zrxdEqsuqBoViSIamaCdibKCqJ03QqapDlPCFFdKmhg5AUx8gOYeQHr97wAZr71u/UzgFkUsrI78W4ccS70eDdmXoDiH3JQRaFy9635rMtO6fXOZB8oRehgsZ0hste19hHTpw0xvdvgaOFB+Q27j5MKmlZ/Il/tL2W6x4nukUuhqB355DQzJc151h8oac4TQpTHLLJuvw/syiO4O98at6cgiJkXRAWMau/HKDYwDhWXWa55HHjSEnF3SsDI8RPYlU9wd74dPOnxbmJ6tyamdxsr86RpVpPY7gICu/Mxi0L4urXE1T4uqh+PdYeaE1p6yxxTiIYmQVQzE7Sb86KDKGnOE6L5MQOGNdhhOZ2Fg/sKKdq0n6Kth1AB07qNPTyCrSo2CB0oqnznTg1HnNsazDHejSPehR5+Hsk66T6nNahinpWZMvICaC4Hns6JuNvHl2lGUyGTYHYBylC4O8aXubVe9zrxnJyI52RpFhNNgwRRzUwoHES5tPIzUdKcJ8TxTwVNggeKcLbwWFmXUkx/iKLNByhYv5fAjlw0jwNXSiyulBhcbWOt9f87QDC7oMrjOFp6cbe3xjhyJfvQ48KBUpwLzeOo8zu5NKeOu0N8ne7zRKaUIhQKYRjVzxwKi8PhwOl0HvNnXIKoZiYYHsDNpVuZJ8lECXH8MP0hq9ksP4judVrZnVg3mkPDyA1QvO0QRVsO4d9+GBUIZ5Vbeq0gqV0sxqFiir46YA3WGKb8BoEfcwn8mBt9MF3D2yUJX8/WOFp4rLGLTIUyFZpTL3MnnGhaAoEAe/bsobCwsLGr0mTFxMTQrl27Y7ouShDVjJimwgwP8uaMBFHlTPsihKgfkek8jEPFhA4VEzpcjHHYj3GkmNCRAKq4nM7WGlazWGH0Os3tQAWs/kbGoWKKvzlor3O29hHTty0xvVqjAgbB7AKCewut7JMCX/dWeE9rJUFSM2WaJjt27MDhcJCamorb7Zbxn2pAKUUgEGD//v3s2LGDLl26oOu1m9xYgqhmJDK8AYBTs4ImhzTnCVEnzOIQwT0F4AhPxurUQYPgngJ7oMfA7vwqB3jUvA4c8W7MYgMzPwAKO4BydYzH17Ul3q4tcaXGYhZaYw8F91gPza0T06eN1Z+o1EXTlRJbr+cuji+BQADTNOnYsSMxMWXHpBJV8/l8uFwufvzxRwKBAF5v7W5UkCCqGfGXGk/FpVtTG0hznhBVi8w8r8e5ozo7K8Ok+NvDFG7YR9E3h6o1Iawe48TZyoejpRdnCw+OFl6cSeEpRpI8UbfTK1NhFgYx8oI44l044qL/fzpiXTg6J+HtnFRn5yqaj9pmT4SlLl4/CaKaEX+opHOhW7OCKE2TcaLEiUsZCiOc7XEkHBUgKUVwVz4F6/dS+L/91q33Tg1nSx/OVl50n5PibYcwC0qa2RyJbnDoqJAJIRMVMnG28uE+KcEe7NFRg9nuNT18B1ycfLkRoimSIKoZiYwRpXTr7jxNc6Lr1lss40SJ5kiZCiM3QOhAEaGDRYT2FxE6FB6wMTdgN5eBNVWIs00MztY+HAkeirceIrTvqE65IUVoX2HUcj3ORUyv1sT0bWuPZySEECBBVLMSCaLQNZyE7KY8wzDsW2AliBJNkVKK0P4iAj/mWgFTJGg6WBx1p1q5wtknFTTtCWVtTh1fj1bE9m2L5+REjBw/oYPFhA5ak8l60hLxdE6qdNoQIUTNzJkzh8cee4zs7Gx69erFM888wxlnnFFh+aVLl3Lfffexc+dOunTpwp///GcuuugiAHr27MmZZ57J3Llzy2z3yiuvcP311/Pzzz+TnJxcL+ciQVQzYncs1zVcBMuMEQXSnCeOT0opjIPFqFI3RygTgj/n4//+CMXfH8HMDZS/sa7hbOnFmWw1wzmTfTgSPdYjwY0e67KmFDlUTGhfEcH9hRiHi3G1jyPm9NZR4zA5W/lwtvIBLer5jIU4MS1ZsoQpU6Ywd+5cBgwYwOzZs8nIyGDbtm20adOmTPnPPvuMUaNGMWvWLC655BIWLVrEiBEj+PLLL+nRoweZmZnMnDmTJ598Ep/PF7Xt/PnzufTSS+stgAIJopqV0pkoB6Ey8+Y5HA4cDkdjVU+IMkKHiincsI/CL/cSOlh26pAoTs2aYLZtjBXsJPtwJftwtPCgOarqIKrhah2Dq3UMPlrVWf2FEDXzxBNPcMMNNzB+/HgA5s6dy7vvvsu8efO46667ypR/6qmnuPDCC5k6dSoADz74ICtXruTZZ59l7ty5jB49mj/+8Y+8/vrrjB492t5ux44drF69mvfee69ez0eCqGYkqk9UqUyU3JknGouR4yf/i2z83x9B9zrR46zJajWPg+JthwnsyCkp7NTQPdFBvqOlD2/nJDy/TMRzUgKaS74ECFEepRRFwYYfudznqv7I9oFAgPXr1zNt2jR7ma7rDB06lLVr15a7zdq1a5kyZUrUsoyMDJYvXw5AcnIyl112GfPmzYsKohYsWECHDh244IILanhGNSNBVDMS3SeqbHOeNOWJuqSUIhQe4FGPc+FI8OBIdKO5Hfh/yKHgP3so+voAVNZlSQNP5yRi+rTB1yO5TBAlhKieoqBB9+nvN/hxv3kggxh39UKJAwcOYBgGbdu2jVretm1btm7dWu422dnZ5ZbPzs62n2dmZjJs2DB27NhBWloaSikWLlzI2LFj630YCAmimhF/BR3LJRMl6opSiuDuAoq+OkDR5gPlTmKrufSozt7uTgnE9m2LQmHmBTHyA5gFQVztYonp0wZnUu0GuRNCCIDzzz+fDh06MH/+fB544AFWrVpFVlaW3WRYnySIakZKB1GucoIoyUSJyph+g+CefAK78gnuyiPwcz5Gjh90zRpfSdfAVNHTkzg13O3jrQEjcwMov4EKmvbI2nHpqTKathANwOdy8M0DGY1y3OpKTk7G4XCwd+/eqOV79+4lJSWl3G1SUlKqLK/rOuPGjWPhwoXMnDmT+fPnc84553DyySfX4ExqR4KoZiRyd57SwUmozJQvkokSEaEjxfh35BLaG55zba91xxoVzFhSerHm0vGe2gJfz2S8XVtGjcBt+kMYuQEcCR5pmhOiAWmaVu1mtcbidrvp168fq1atYsSIEYA1D+CqVauYNGlSudukp6ezatUq7rjjDnvZypUrSU9Pjyo3fvx4HnroIZYtW8Ybb7zBSy+9VF+nEeX4fsVFjVTUJ0qa84RS1iCSRV8dpOibg9FjJZXiSHDj6hCPu30crg5xuFr5rADKMFEmYCqcrX3o7vIDJN3jRG8tf1aEEOWbMmUKY8eOpX///pxxxhnMnj2bgoICu+ltzJgxtG/fnlmzZgEwefJkBg8ezOOPP87FF1/M4sWLWbduHS+88ELUftPS0jj33HOZOHEiHo+Hyy+/vEHOR/7aNSOB0NHjRMUB0rH8RGL6QxSu24s/Kw/lNzCLQ9bPwiBGTqlxljRwd4zHlRqHq20MzjYxuNrGyPQjQoh6NXLkSPbv38/06dPJzs6md+/erFixwu48npWVFdUZfODAgSxatIh7772Xu+++my5durB8+XJ69OhRZt+ZmZmsWrWKW265pdYTCteUBFHNSCAyd550LD/hhHL85P97NwVf7EEVV3Cbs0PD26UFvtNa4e3WUgImIUSjmDRpUoXNd6tXry6z7Morr+TKK6+scr+jRo1i1KhRx1q9GpEgqhkp6VhOuDkverBNCaKatuC+QvL//TOh/UVobgeaS0dz6Zh+g+Ith8C0ei45k33E9GuLI86F5nGge51oHgeulJio/ktCCCGOjfxFbUbswTa18N15Dhknqjnw78wh7+NdVqBUCc/JicQNao+3a0vrbjohhBD1SoKoZsSeO88RmfZFmvOaisDufArX7yW4t7BkSAGHhpHjJ7gr3AlcA2+3Vvh6tAJDoUImKmCiTIW3SxLuDvGNexJCCHGCkSCqGSnbsVyCqOOZURC05o1bv5fgnoKKCzo0Yvu2Je6s9rjaxDRcBYUQQlRKgqhmJLpPVEimfTkOqJBJICsP/w9HCB4owswLYOQHMfMC0YNWOjR83VvhPbUlaFiZJtMETcPXrRWOBAmAhRDieCNBVDNiD7apyThRjUWZiuDufIq3Hcb/wxH8P+ZBqOLJ41zt44jt35aYXq3RY1wNWFMhhBDHSoKoZqSi5jzJRNUv02/g/+4wRVsPUbztEGZeMGq9HufCc3Ii7vbx6AluHHEuHPFu9Hg3jlgJnIQQoqmSIKoZOXoCYodkoupN6FAxxVsPUbTlIP4fcsAomRhFczvw/DIJb5ckPCcn4mwTg6bJ3XJCCNHcSBDVjJQMtok059UDZSoKN+4jf80ugtmFUescrbz4urbE27UlnrRENKdewV6EEEI0FxJENSN2JspRMmK5YRiEQlYHZmnOqx2lFP5vD5PzfzsJZofvotPBfVIivm5W4ORs7ZNskxBCnGDk63IzUnz0YJu6x85CgWSiqksZCiPHT2BXHkVfHeDAi5s5MP9rgtkFaF4HCRd2IvXeX9PmxtOJP7sDLmmuE0KIapszZw6dOnXC6/UyYMAAvvjiiwrLvvjii5x11lm0aNGCFi1aMHTo0KjyPXv25Kabbip321deeQWPx8OBAwfq/BwiJBPVjPij5s6zpn2JBFG6ruN0yttdERUyyVuzi/z/7MHMC4A6qoBDI25gKvFDOkpncCGEqKUlS5YwZcoU5s6dy4ABA5g9ezYZGRls27aNNm3alCm/evVqRo0axcCBA/F6vfz5z3/mggsu4Ouvv6Z9+/ZkZmYyc+ZMnnzySXw+X9S28+fP59JLLyU5ObnezkcyUc1I6XGiHBjoukfuzKsGf1Yue5/ZQO4HP2LmhgMoHfQEtzUEwRkppNzZn6SLT5YASgghjsETTzzBDTfcwPjx4+nevTtz584lJiaGefPmlVv+H//4B7fccgu9e/ema9euvPTSS5imyapVqwAYPXo0RUVFvP7661Hb7dixg9WrV5OZmVmv5yOpiWYkEkQ5dBMNoprzpCmvLNMfIvf9H8lfuxsU6LFOEi86Ge8pLdBjXTL/nBCi6VAKgoVVl6trrhioZneGQCDA+vXrmTZtmr1M13WGDh3K2rVrq7WPwsJCgsEgLVu2BCA5OZnLLruMefPmMXr0aLvcggUL6NChAxdccEENTqbmJIhqRoJGJIiymvUkE1VCBQ0KNx8gtK+Q0IEiQgeLCR0oQgWt1yymTxsSL5FMkxCiiQoWwiOpDX/cu3eDO7ZaRQ8cOIBhGLRt2zZqedu2bdm6dWu19vHHP/6R1NRUhg4dai/LzMxk2LBh7Nixg7S0NJRSLFy4kLFjx6Lr9dvgJkFUM1JeEBUIWN9MTuRMVODnfA4t2UpoX1GZdY6WXlqM+CXeU1o0Qs2EEEJU15/+9CcWL17M6tWr8Xq99vLzzz+fDh06MH/+fB544AFWrVpFVlYW48ePr/c6SRDVjARDVm9ol24NaaA7PAQCR4ATM4hShiJvzU/krswCU6HHufD1TMbZyocz2YezlRdnSx+aQ5rthBBNnCvGygo1xnGrKTk5GYfDwd69e6OW7927l5SUlEq3/ctf/sKf/vQn/vWvf3H66adHrdN1nXHjxrFw4UJmzpzJ/PnzOeecczj55JOrfx61JEFUMxKZO0/HykQ5TuDmvOC+Qg6//h2BH3MB8J3WiqTLu0hznRCiedK0ajerNRa3202/fv1YtWoVI0aMALA7iU+aNKnC7R599FEefvhh3n//ffr3719umfHjx/PQQw+xbNky3njjDV566aX6OIUyJIhqRkLhIMrORJ1AHctNfwj/9zkUf3cY/3dHCB2wmu40j4OkSzsT07eNjOUkhBCNbMqUKYwdO5b+/ftzxhlnMHv2bAoKCuymtzFjxtC+fXtmzZoFwJ///GemT5/OokWL6NSpE9nZ2QDExcURFxdn7zctLY1zzz2XiRMn4vF4uPzyyxvkfCSIakZC4fnbnCdQEGX6Q+R9tIu8T3+GyBAPADp4u7QgacQvcbbwVrwDIYQQDWbkyJHs37+f6dOnk52dTe/evVmxYoXd2TwrKyuqM/jzzz9PIBDgt7/9bdR+ZsyYwcyZM6OWZWZmsmrVKm655ZaoPlP1SYKoZiSSiXLqQTTNhaY5mm1znjIVhev3kvP+Tsz8IGB1Evee0gLvL5PwdE5C98nHWwghjjeTJk2qsPlu9erVUc937txZ7f2OGjWKUaNGHUPNak6uMs2EYSrM8CjbLi3UrCcf9u/M4chb3xPcbc1j52jlJemik/F2bylNdkIIIRpMo49YXpM5dACWLl1K165d8Xq99OzZk/feey9qvVKK6dOn065dO3w+H0OHDuW7776LKvPwww8zcOBAYmJiSEpKKvc4mqaVeSxevPiYzrU+RYY3AHDp1pQv0LyCKLM4xOE3vmP/3E0EdxegeRwkXpRGyu/64TutlQRQQgghGlSjBlGROXRmzJjBl19+Sa9evcjIyGDfvn3llv/ss88YNWoUmZmZbNiwgREjRjBixAi++uoru8yjjz7K008/zdy5c/n888+JjY0lIyOD4uJiu0wgEODKK6/k5ptvrrR+8+fPZ8+ePfYjcjfB8ah0EOXUSzJRzaU5r+irA2Q/vp6Cz61OhTH925IytT/xZ3dAczb6dwEhhBAnoEa9+tR0Dp2nnnqKCy+8kKlTp9KtWzcefPBB+vbty7PPPgtYWajZs2dz7733ctlll3H66afz8ssvs3v3bpYvX27v5/777+d3v/sdPXv2rLR+SUlJpKSk2I+G6qhWG4FSnaqbU3OeWRTi4N+/4eDft2DmBXAm+2g9sSctf3sKjrimeU5CCCGah0YLoiJz6JQeur2qOXTWrl0bVR4gIyPDLr9jxw6ys7OjyiQmJjJgwIBqz8tT2q233kpycjJnnHEG8+bNQylVaXm/309ubm7Uo6EEw3fmKQ1cWhBHM8hEhQ4Vs+/5/1H01UHQNeLP6UjbyX3xnJzU2FUTQgghGq9jeW3m0MnOzi63fGTciMjPyspU1wMPPMC5555LTEwMH3zwAbfccgv5+fncfvvtFW4za9Ys7r///hodp67YzXm6hotgk89E+bNyOfjyN5j5QfQEN8ljuuPuEN/Y1RJCCCFscndeBe677z779z59+lBQUMBjjz1WaRA1bdo0pkyZYj/Pzc2lY8eO9VrPiMho5WjgpGk35xVu3s+hJd9CyMTVLpbkcafhSGx6mTQhhBDNW6M159VmDp2UlJRKy0d+1mZenqoMGDCAXbt22c1j5fF4PCQkJEQ9GkrpTJSzVCaqKTXnKaXI/SiLQ//YCiETb9eWtL6plwRQQgghjkuNFkSVnkMnIjKHTnp6ernbpKenR5UHWLlypV0+LS2NlJSUqDK5ubl8/vnnFe6zujZu3EiLFi2O22AkMvmwFUSF0B0eDMMgFLJGLz/eM1Gm3+DQoq3kvv8jAHEDU2k1pju6x9HINRNCCCHK16jNeTWdQ2fy5MkMHjyYxx9/nIsvvpjFixezbt06XnjhBcAa2+mOO+7goYceokuXLqSlpXHfffeRmpoaNTxBVlYWhw4dIisrC8Mw2LhxIwC//OUviYuL4+2332bv3r38+te/xuv1snLlSh555BHuvPPOBn19aiLSnKc0cIWb84LBoL3+eA6iQgeKOPDKN4T2FoJDI+nSzsQNaNfY1RJCCCEq1ahDHIwcOZK//OUvTJ8+nd69e7Nx48Yyc+js2bPHLj9w4EAWLVrECy+8QK9evXjttddYvnw5PXr0sMv84Q9/4LbbbmPixIn86le/Ij8/nxUrVkQNTzB9+nT69OnDjBkzyM/Pp0+fPvTp04d169YB4HK5mDNnDunp6fTu3Zu//vWvPPHEE8yYMaOBXpmas4c4iGSidLfdlKfrOk7n8dn9rWjbIfY+u5HQ3kL0eDetJ54uAZQQQjRjNR1kO2Lx4sVomhaVFOnZsyc33XRTueVfeeUVPB4PBw4cqItql0tTVd23L2otNzeXxMREcnJy6r1/1Jpv9zNm3heY8S4uS/8Xt6Q6SW71O+bMmYPX6+Wuu+6q1+PXRvH3Rzjwt81ggvsX8bQa3Q1HwvHZXCqEEMeL4uJiduzYQVpa2nE9fmF5lixZwpgxY5g7dy4DBgxg9uzZLF26lG3bttGmTZsKt9u5cyeDBg3i5JNPpmXLlvbYj7Nnz2bmzJns2bMHn88Xtc25555Lq1atWLp0abn7rOx1rO71W4Z6biaCpe7OiwxxcDx3Kg8dKebQoi1ggu/0ZFpPPF0CKCGEaOZqOsg2gGEYXHvttdx///2cfPLJUetGjx5NUVERr7/+etTyHTt2sHr1ajIzM+vlPCKOzzYeUWPl3Z13vA5voIIGB1/ZglkQwpUaS8srT5GpW4QQ4hgopSgKFTX4cX1OX7XnLY0Msj1t2jR7WVWDbIM1bmObNm3IzMzkk08+iVqXnJzMZZddxrx58xg9erS9fMGCBXTo0IELLrighmdUMxJENROByIjldp+o4zOIUkpx+I3tBH/OR49x0uq67mguuQNPCCGORVGoiAGLBjT4cT+/5nNiXDHVKlubQbY//fRT/va3v9k3gJUnMzOTYcOG2U1zSikWLlzI2LFj0fX6/YIuX/+biaDdsdwabNNxnDbnFazdQ+GX+0CDltd0w9miabXnCyGEaBh5eXlcd911vPjiiyQnJ1dY7vzzz6dDhw7Mnz8fgFWrVpGVlWXf6V+fJBPVTJT0iSqZ9uV4y0T5f8jhyDs/AJB4URreXyY1boWEEKKZ8Dl9fH7N541y3Oqq6SDb33//PTt37mT48OH2MtO0rnVOp5Nt27bRuXNndF1n3LhxLFy4kJkzZzJ//nzOOeecMv2n6oMEUc2EPe2LXrZj+fEQRAWzCzjw8jdgKny9WhM3qH1jV0kIIZoNTdOq3azWWEoPsh0ZpiAyyPakSZPKlO/atSubN2+OWnbvvfeSl5fHU089FTWt2vjx43nooYdYtmwZb7zxBi+99FK9nkuEBFHNRPQ4UdGZqMZuzgsdKmb/vK9QxSHcv4inxRVdqt0RUQghRPNRk0G2vV5v1DiQAElJSQBllqelpXHuuecyceJEPB4Pl19+eYOcjwRRzUQw0rFcO746lhv5AQ78bTNmbgBn2xiSx52G7paO5EIIcSIaOXIk+/fvZ/r06WRnZ9O7d+8yg2zXtjN4ZmYmq1at4pZbbmmw8bMkiGomgkZ0x3KrOa8YaLxMlFkc4sC8rwgdLMaR5KH1hB7oMa5GqYsQQojjw6RJk8ptvgNYvXp1pdsuWLCgwnWjRo1i1KhRx1CzmpO785qJ0uNEWX2i3I2aiVKm4uDftxDcXYAe6yL5+p44Eo+fuwSFEEKIYyVBVDMRKGewzcbsWF74v/34tx9Bc+skT+iBK7n6d3AIIYQQTYEEUc1EMBSeAlELN+c5Gq9juRkwyF2xA4D4c36Bu31cgx5fCCGEaAgSRDUTZZvzGq9jef6nP2PkBHAkeYgflNqgxxZCCCEaigRRzURkiANVTnNeQ2aijLwAeat3AZB4YSeZ0kUIIUSzJUFUM2H3idLAFZ72pTEyUbkrf0QFDFwd4/H1at1gxxVCCCEamgRRzYQ/arDNUKN0LA9mF1Dw32wAki5OkwE1hRBCNGsSRDUT/qPuzgMXoVAIaJjmPKUUR979ART4eibj6ZRY78cUQgghGpMEUc1ESSbKujsvFCrJAjVEJqr428P4vzsCDo3ECzvV+/GEEEKIxiZBVDPhDxkAaJqJjiIYtIY80HUdp7N+B6ZXpiL3/6whDeIGpuJsJWNCCSGEaP4kiGomIh3LHZqJprkIBq2gyu1213vfpMIN+whmF6J5nSSc07HqDYQQQpyw5syZQ6dOnfB6vQwYMIAvvvii0vJHjhzh1ltvpV27dng8Hk455RTee+89AIYPH86FF15Y7naffPIJmqaxadOmOj+HCAmimonIEAcO3UDX3Q3WqVyFTHJX/ghA/JAOMjeeEEKICi1ZsoQpU6YwY8YMvvzyS3r16kVGRgb79u0rt3wgEOD8889n586dvPbaa2zbto0XX3yR9u3bA9akwytXrmTXrl1ltp0/fz79+/fn9NNPr7fzkSCqmSjJRBlRA23Wd6fy/P/swTjiR09wEzdQBtYUQghRsSeeeIIbbriB8ePH0717d+bOnUtMTAzz5s0rt/y8efM4dOgQy5cv58wzz6RTp04MHjyYXr16AXDJJZfQunXrMhMT5+fns3TpUjIzM+v1fCSIaiaChtUHyqmHGmzyYbM4RN6HWQAkDj0J3S0DawohRGNQSmEWFjb4QylV7ToGAgHWr1/P0KFD7WW6rjN06FDWrl1b7jZvvfUW6enp3HrrrbRt25YePXrwyCOPYBhWlxWn08mYMWNYsGBBVF2WLl2KYRiMGjWqlq9o9dRvj2PRYCLTvjh1s8FGK89bswuzMISztY+Yfm3r7ThCCCEqp4qK2Na3X4Mf99Qv16PFxFSr7IEDBzAMg7Zto68Xbdu2ZevWreVu88MPP/Dhhx9y7bXX8t5777F9+3ZuueUWgsEgM2bMAGDChAk89thjfPzxxwwZMgSwmvKuuOIKEhPrd7gdyUQ1E5EgytFAmSgjL0D+Jz8DkJjRCc0hA2sKIYSoW6Zp0qZNG1544QX69evHyJEjueeee5g7d65dpmvXrgwcONBuEty+fTuffPJJvTflgWSimo1QuDnPpTXMaOV5H/2ECpq4O8bjPa1VvRxDCCFE9Wg+H6d+ub5RjltdycnJOBwO9u7dG7V87969pKSklLtNu3btcLlcOBwl3UW6detGdnY2gUDAvsZlZmZy2223MWfOHObPn0/nzp0ZPHhwLc6oZiQT1UyE7Oa8UL13LFchk4IN1p0UCUN/IdO7CCFEI9M0DT0mpsEfNfn773a76devH6tWrbKXmabJqlWrSE9PL3ebM888k+3bt2Oapr3s22+/pV27dlFJgquuugpd11m0aBEvv/wyEyZMaJBrkwRRzUSkY7lLD9Z7c17RlkOoohCOBDeeLi3qfP9CCCGapylTpvDiiy+ycOFCtmzZws0330xBQQHjx48HYMyYMUybNs0uf/PNN3Po0CEmT57Mt99+y7vvvssjjzzCrbfeGrXfuLg4Ro4cybRp09izZw/jxo1rkPOR5rxmwrCHOAjVe8fywi+tVGxM3zZoumShhBBCVM/IkSPZv38/06dPJzs7m969e7NixQq7s3lWVha6XpLf6dixI++//z6/+93vOP3002nfvj2TJ0/mj3/8Y5l9Z2Zm8re//Y2LLrqI1NSGGXJHgqhmQCmFYWei6rdjuZEfoHjbYQBi+sodeUIIIWpm0qRJTJo0qdx1q1evLrMsPT2d//znP1XuNz09vUZDLtQFac5rBgxTEfnYWM159dexvHDjfjAVrg5xuNpU77ZWIYQQojmSIKoZiPSHAnBrgXrtWF4Y7lAeK1koIYQQJzgJopqByJQvUL8dy4PZBQR/zgeHhq9X6zrbrxBCCNEUSRDVDARLB1FasN46lhd8aWWhvKe2xBErEw0LIYQ4sdW4Y/mRI0d44403+OSTT/jxxx8pLCykdevW9OnTh4yMDAYOHFgf9RSVCISsIEpp4NZC6JqnzjNRylSlmvLa1Mk+hRBCiKas2pmo3bt3c/3119OuXTseeughioqK6N27N+eddx4dOnTgo48+4vzzz6d79+4sWbKkPussjmJnonQNJ/XTsdy//QhmXgA9xom3a8s62acQQgjRlFU7E9WnTx/Gjh3L+vXr6d69e7llioqKWL58ObNnz+ann37izjvvrLOKioqVBFHgJISmuQiFQkDdNecVhMeG8vVqjeaUVmAhhBCi2kHUN998Q6tWlc+R5vP5GDVqFKNGjeLgwYPHXDlRPYFQ+O48XcNFEFOVzDFUF5ko029Q/LX1fspdeUIIIYSl2imFqgIosObAeeedd6pdXtQNOxOlWc15pmkFUbqu43Qe+3iqxVsPoYImzlZeXB3ijnl/QgghRHNQJyOWb9++nXnz5rFgwQL2799PMBisi92KaooEUUoHFyFMw4qN3W53nUzAWLRpPwC+nq1lsmEhhBAirNadW4qKinj55Zc5++yzOfXUU/nss8+YPn06u3btqsv6iWoIRHUsD2EYVqBTV015ReFpXnw9k495f0IIIU5sc+bMoVOnTni9XgYMGMAXX3xRafnZs2dz6qmn4vP56NixI7/73e8oLi4GYPjw4Vx44YXlbvfJJ5+gaRqbNm2q83OIqHEQ9d///pcbb7yRlJQUZs+ezWWXXYamaTz33HPcdNNN9iSCouFEhjiINOcZ4UxUXXQqL956CELhprzU2GPenxBCiBPXkiVLmDJlCjNmzODLL7+kV69eZGRksG/fvnLLL1q0iLvuuosZM2awZcsW/va3v7FkyRLuvvtuwJp0eOXKleUmcObPn0///v05/fTT6+18ahREnX766Vx55ZW0atWKzz77jC+//JLf//730sTTyOxpX3RwEazTTFTRZmnKE0IIUTeeeOIJbrjhBsaPH0/37t2ZO3cuMTExzJs3r9zyn332GWeeeSbXXHMNnTp14oILLmDUqFF29uqSSy6hdevWLFiwIGq7/Px8li5dSmZmZr2eT42CqG3btnH22WdzzjnnVDjMgWh4R48TFQxZwc6xZqJMv0HRVmnKE0KI451SiqDfaPCHUqrqyoUFAgHWr1/P0KFD7WW6rjN06FDWrl1b7jYDBw5k/fr1dtD0ww8/8N5773HRRRcB4HQ6GTNmDAsWLIiqy9KlSzEMg1GjRtXm5ay2GnUs/+GHH1iwYAE333wzRUVFjBo1imuvvVYyFI3M7liuabgIEQr36z/WTFSkKc8hTXlCCHFcCwVMXpj8cYMfd+JTg3F5HFUXBA4cOIBhGGW6/bRt25atW7eWu80111zDgQMHGDRoEEopQqEQN910k92cBzBhwgQee+wxPv74Y4YMGQJYTXlXXHEFiYmJtTuxaqpRJqp9+/bcc889bN++nVdeeYXs7GzOPPNMQqEQCxYs4Ntvv62veopK2H2iwoNthsfZPOYgKtKUFyNNeUIIIRrB6tWreeSRR3juuef48ssvWbZsGe+++y4PPvigXaZr164MHDjQbhLcvn07n3zySb035cExDHFw7rnncu6555KTk8M//vEP5s2bx1/+8hd69OhRrz3hRVklfaKs5rxA0Hp+LM150pQnhBBNh9OtM/GpwY1y3OpKTk7G4XCwd+/eqOV79+4lJSWl3G3uu+8+rrvuOq6//noAevbsSUFBARMnTuSee+5B163jZ2ZmcttttzFnzhzmz59P586dGTy4/l+PY56/IzExkVtuuYV169bx5Zdf2qk00XBK94lyESRozT18TJkoacoTQoimQ9M0XB5Hgz9q0krhdrvp168fq1atspeZpsmqVatIT08vd5vCwkI7UIpwOKzmw9J9oK666ip0XWfRokW8/PLLTJgwoUFaUOpksM2I3r178/TTT9flLkU1lIxYjpWJCljPjyUTJU15Qggh6tqUKVMYO3Ys/fv354wzzmD27NkUFBQwfvx4AMaMGUP79u2ZNWsWYI0D9cQTT9CnTx8GDBjA9u3bue+++xg+fLgdTAHExcUxcuRIpk2bRm5uLuPGjWuQ86l2EHXhhRcyc+ZMfv3rX1daLi8vj+eee464uDhuvfXWY66gqJo/FBmx3BpsMxCwovPaZqJMv0GxDLAphBCijo0cOZL9+/czffp0srOz6d27NytWrLA7m2dlZUVlnu699140TePee+/l559/pnXr1gwfPpyHH364zL4zMzP529/+xkUXXURqamqDnE+1g6grr7zS7uk+fPhw+vfvT2pqKl6vl8OHD/PNN9/w6aef8t5773HxxRfz2GOP1We9RSnRzXkhOxNV2yCq+NvDqKA05QkhhKh7kyZNYtKkSeWuW716ddRzp9PJjBkzmDFjRpX7TU9Pr9GQC3Wh2kFUZmYmo0ePZunSpSxZsoQXXniBnJwcwGqL7d69OxkZGfz3v/+lW7du9VZhUdbRzXl5xQZQ++a8wA7rffWe0kKa8oQQQogK1KhPlMfjYfTo0YwePRqAnJwcioqKaNWqFS6Xq14qKKpWMsSB1bE8ELCCqNpmovzhIMqTVr/jawghhBBN2TF1LE9MTKz3gaxE1YpLB1Gajt9v3Z5Xm0yUWRwimF1gbd9J3lshhBCiIjUKot56661qlbv00ktrVRlRO8X2iOXg0XUCASuIqk0myv9jLihwtPLiSDj2ufeEEEKI5qpGQdSIESOqLKNpGoZh1LY+ohb8pTJRbt1xTEFUYEcuIFkoIYQQoio1CqJM06yveohjUBy0glZdM9F1N8GgNXlebZrz/DvD/aE6JdRdBYUQQohm6JhHLBeNzx9uznPoJppWkn2qaSZKBU0CP+VZ20qnciGEEKJStQ6iXnnlFc4880xSU1P58ccfAXjyySd5880366xyonoid+fpuoGmOcO/6zidNbtvILArDwyFHufC2cpb5/UUQgghmpNaBVHPP/88U6ZM4aKLLuLIkSN2H6gWLVowe/bsuqyfqIZAJBOlmYCVfXK73TUe48luyktLlPGhhBBCiCrUKoh65plnePHFF7nnnnui5q7p378/mzdvrrPKieqxgyjdINLNrVZ35oU7lbulP5QQQghRpVoFUTt27KBPnz5llns8HgoKCo65UqJmgiFrmHunbqCUFUTVtFO5MhWBH+XOPCGEEPVnzZo1DB8+nNTUVDRNY/ny5VVus3r1avr27YvH4+GXv/wlCxYssNcNHz6cCy+8sNztPvnkEzRNY9OmTXVU+7JqFUSlpaWxcePGMstXrFghU740gqDdnGeAql0mKrinAOU30DwOXO1kvjwhhBB1r6CggF69ejFnzpxqld+xYwcXX3wx55xzDhs3buSOO+7g+uuv5/333wesKelWrlzJrl27ymw7f/58+vfvz+mnn16n51BarUYsnzJlCrfeeivFxcUopfjiiy/45z//yaxZs3jppZfquo6iCiXNeSFMZcXFNc1ERfpDuU9KQNOlP5QQQoi6N2zYMIYNG1bt8nPnziUtLY3HH38cgG7duvHpp5/y5JNPkpGRwSWXXELr1q1ZsGAB9957r71dfn4+S5cu5bHHHqvzcyitVkHU9ddfj8/n495776WwsJBrrrmG1NRUnnrqKa6++uq6rqOoQiQT5dJDKLN2majAzkhTnvSHEkKIpkYpRcjvb/DjOj2eer0Rae3atQwdOjRqWUZGBnfccYd1fKeTMWPGsGDBAu655x67LkuXLsUwDEaNGlVvdYNjmDvv2muv5dprr6WwsJD8/HzatGlTl/USNRAyrD5RDs3ANK2O/jUJopRSJZMOS38oIYRockJ+P0+P/W2DH/f2ha/h8tbfkDjZ2dm0bds2alnbtm3Jzc2lqKgIn8/HhAkTeOyxx/j4448ZMmQIYDXlXXHFFfU+v2+tO5Z/9913AMTExNgB1HfffcfOnTvrrHKiekKlMlGGab2lNQmiQgeLMfOD4NBwd4yvlzoKIYQQ9aFr164MHDiQefPmAbB9+3Y++eQTMjMz6/3YtcpEjRs3jgkTJtClS5eo5Z9//jkvvfQSq1evrou6iWqKZKJcegjTqHkQFYj0h+oQj+aSQeyFEKKpcXo83L7wtUY5bn1KSUlh7969Ucv27t1LQkICPp/PXpaZmcltt93GnDlzmD9/Pp07d2bw4MH1WjeoZRC1YcMGzjzzzDLLf/3rXzNp0qRjrpSoGSOciXLqQQzTag+uURC1K9/a5iTJQgkhRFOkaVq9Nqs1lvT0dN57772oZStXriQ9PT1q2VVXXcXkyZNZtGgRL7/8MjfffHODDBpdq7SDpmnk5eWVWZ6Tk2OPXi4aTsgMZ6K0IEbIektdLle1tw/+HA6iUuPqvnJCCCFEWH5+Phs3brSHSdqxYwcbN24kKysLgGnTpjFmzBi7/E033cQPP/zAH/7wB7Zu3cpzzz3Hq6++yu9+97uo/cbFxTFy5EimTZvGnj17GDduXIOcT62CqLPPPptZs2ZFBUyGYTBr1iwGDRpUo33NmTOHTp064fV6GTBgAF988UWl5ZcuXUrXrl3xer307NmzTISqlGL69Om0a9cOn8/H0KFD7f5bEQ8//DADBw4kJiaGpKSkco+TlZXFxRdfbPf5mjp1KqFQqEbn1lAMIzLYZpCQUbNMlDIUwWxrgFRXewmihBBC1J9169bRp08fe8DuKVOm0KdPH6ZPnw7Anj177IAKrHEp3333XVauXEmvXr14/PHHeemll8jIyCiz78zMTA4fPkxGRgapqakNcj61as7705/+xODBgzn11FM566yzAGtk0NzcXD788MNq72fJkiVMmTKFuXPnMmDAAGbPnk1GRgbbtm0r926/zz77jFGjRjFr1iwuueQSFi1axIgRI/jyyy/p0aMHAI8++ihPP/00CxcuJC0tjfvuu4+MjAy++eYbvOFUZyAQ4MorryQ9PZ2//e1vZY5jGAYXX3wxKSkpfPbZZ+zZs4cxY8bgcrl45JFHavOS1RulFGY4E+XWghihmgVRoQOFqKCJ5nbgbOWregMhhBCiloYMGYJSqsL1pUcjL73Nhg0bqtx3enp6pfuuD7XKRJ122mls2rSJq666in379pGXl8eYMWPYunWrHcxUxxNPPMENN9zA+PHj6d69O3PnziUmJsbuYX+0p556igsvvJCpU6fSrVs3HnzwQfr27cuzzz4LWAHF7Nmzuffee7nssss4/fTTefnll9m9e3fU0PL3338/v/vd7+jZs2e5x/nggw/45ptv+Pvf/07v3r0ZNmwYDz74IHPmzCEQCFT/hWoAQaPkA+PSgwTDybLqNucFwk15rtRYGWRTCCGEqIEaB1HBYJDzzjuPgoICHnnkEd59911ee+01pk+fTsuWLau9n0AgwPr166MG0dJ1naFDh7J27dpyt6lo0K1I+R07dpCdnR1VJjExkQEDBlS4z4qO07Nnz6ixKTIyMsjNzeXrr7+ucDu/309ubm7Uo75FBtoE8Oh+QkHr9+pmooK7raY86Q8lhBBC1EyNgyiXy1Unk/kdOHAAwzDKHUQrOzu73G0qGnQrUj7ysyb7rMlxSh+jPLNmzSIxMdF+dOzYsdrHrK3SQZRbDxKsYRBVkomSIEoIIYSoiVo1540ePbrcvkQnumnTppGTk2M/fvrpp3o/ZmTePIV1d14wGL5TrxrNecpUBHeHgyjpVC6EEELUSK06lodCIebNm8e//vUv+vXrR2xsbNT6J554osp9JCcn43A4yh1EKyUlpdxtKhp0K1I+8nPv3r20a9cuqkzv3r2rrFPp4xx9l2DkuBXVDaxJf2s68e+xsvtE6eAiRCAcRFUnE2UcKkb5DXBquNpIp3IhhBCiJmqVifrqq6/o27cv8fHxfPvtt2zYsMF+RMZ+qIrb7aZfv36sWrXKXmaaJqtWrSoziFZEenp6VHmIHnQrLS2NlJSUqDK5ubl8/vnnFe6zouNs3ryZffv2RR0nISGB7t27V3s/DSEy5QuahpMgAX/1g6hAJAuVEovmkJHKhRBCiJqoVSbqo48+qpODT5kyhbFjx9K/f3/OOOMMZs+eTUFBAePHjwdgzJgxtG/fnlmzZgEwefJkBg8ezOOPP87FF1/M4sWLWbduHS+88AJgDQJ6xx138NBDD9GlSxd7iIPU1FRGjBhhHzcrK4tDhw6RlZWFYRh24PfLX/6SuLg4LrjgArp37851113Ho48+SnZ2Nvfeey+33nprg2eaqmJnojRwEcRU1ltanea8SFOeW5ryhBBCiBqrVRBVV0aOHMn+/fuZPn062dnZ9O7dmxUrVtiduLOystD1kgzJwIEDWbRoEffeey933303Xbp0Yfny5VHDKvzhD3+goKCAiRMncuTIEQYNGsSKFSvsMaIApk+fzsKFC+3nkUG/PvroI4YMGYLD4eCdd97h5ptvJj09ndjYWMaOHcsDDzxQ3y9JjYXMcCZK13ASwjStIK9amSjpVC6EEELUmqZqMTLVOeecU+mcNDUZcLM5y83NJTExkZycHBISEurlGJt35TD82U9RHp0bBi/Cva4VgUAy9957b6XbKaXY89B/MAtCtLm1N+6OMm+eEEI0BcXFxezYsYO0tLSoBIGomcpex+pev2uViTq6k3YwGGTjxo189dVXjB07tja7FLUUDGeilK7hIoRpOqrXqTw3gFkQsjqkp8RWWV4IIYQQ0WoVRD355JPlLp85cyb5+fnHVCFRMyG7T5TVsdxvOvB4qtEfKtKU1yYWzSWdyoUQQtS/NWvW8Nhjj7F+/Xr27NnDG2+8EdVn+WjLli3j+eefZ+PGjfj9fk477TRmzpxpz503fPhwgsEgK1asKLPtJ598wtlnn83//vc/Tj/99Ho5nzq9eo4ePbrCKVtE/bDvztMJ94nSa9gfSrJQQgghGkZBQQG9evVizpw51Sq/Zs0azj//fN577z3Wr1/POeecw/Dhw+259DIzM1m5ciW7du0qs+38+fPp379/vQVQUMcdy9euXSvtsw0saJZkolwEq92cJ4NsCiGEaGjDhg1j2LBh1S4/e/bsqOePPPIIb775Jm+//TZ9+vThkksuoXXr1ixYsCCqL3B+fj5Lly7lscceq6uql6tWQdTll18e9VwpxZ49e1i3bh333XdfnVRMVE/JOFFWJkophwxvIIQQJxilFCpoVl2wjmkuvdIbzeqaaZrk5eXZc/U6nU7GjBnDggULuOeee+y6LF26FMMwGDVqVL3Wp1ZBVGJiYtRzXdc59dRTeeCBB7jgggvqpGKieuy588JDHCilVZmJMvIDGDkBa2ypdtKcJ4QQTZ0Kmuye/lmDHzf1gYFobkeDHe8vf/kL+fn5XHXVVfayCRMm8Nhjj/Hxxx8zZMgQwGrKu+KKK8rEK3WtVkHU/Pnz67oeopZKD7bpDP9SVRAV3F0AgDPZh+5p1KHChBBCiGpZtGgR999/P2+++SZt2rSxl3ft2pWBAwcyb948hgwZwvbt2/nkk08aZGzHY7qCrl+/ni1btgBw2mmn2YNWioYTihriwFJVc5493YsMsimEEM2C5tJJfWBgoxy3ISxevJjrr7+epUuXMnTo0DLrMzMzue2225gzZw7z58+nc+fODB48uN7rVasgat++fVx99dWsXr2apKQkAI4cOcI555zD4sWLad26dV3WUVSidCZKD/9aVSYqlG1lomR8KCGEaB40TWvQZrWG9M9//pMJEyawePFiLr744nLLXHXVVUyePJlFixbx8ssvc/PNNzdIX61ahZC33XYbeXl5fP311xw6dIhDhw7x1VdfkZuby+23317XdRSViOoTpao3+XDwQBEArta+eq2bEEIIUVp+fj4bN26056zdsWMHGzduJCsrC4Bp06YxZswYu/yiRYsYM2YMjz/+OAMGDCA7O5vs7GxycnKi9hsXF8fIkSOZNm0ae/bsYdy4cQ1yPrUKolasWMFzzz1Ht27d7GXdu3dnzpw5/N///V+dVU5UrThUcneeoxqZKKUUof1WEOWUIEoIIUQDWrduHX369LG7/0yZMoU+ffowffp0APbs2WMHVAAvvPACoVCIW2+9lXbt2tmPyZMnl9l3ZmYmhw8fJiMjg9TU1AY5n1o155mmWW6/G5fLhWk2/C2WJzK/HURp6OFMVGV9osy8IMpvWB3RW0kQJYQQouEMGTKEyqbsXbBgQdTz1atXV3vf6enple67PtQqE3XuuecyefJkdu/ebS/7+eef+d3vfsd5551XZ5UTVfOXGrHcYVbdnBfcXwiAo6UXzSnTvQghhBC1Vaur6LPPPktubi6dOnWic+fOdO7cmU6dOpGbm8szzzxT13UUlfCXas7DtN7OyoKoUKQ/VLJkoYQQQohjUavmvI4dO/Lll1/yr3/9i61btwJWnyjJQjW8SCZK0xSmad2JUFlzXkl/qJj6r5wQQgjRjNUoE7V27VreeecdwLqd8vzzzychIYHHH3+cUaNGMXHiRPx+f71UVJQvEA6idN3EMKqRiQo350mnciGEEOLY1CiIeuCBB/j666/t55s3b+aGG27g/PPP56677uLtt99m1qxZdV5JUbHiSBClKYyQlYmqtE9UuDnPKc15QgghxDGpURC1cePGqCa7xYsXc8YZZ/Diiy8yZcoUnn76aV599dU6r6SoWDBUkokKhTNRFTXnqZCJcajYKiPNeUIIIcQxqVEQdfjwYdq2bWs///jjjxk2bJj9/Fe/+hU//fRT3dVOVMluztNMQlVkokIHi0CB5nGgx1c+NYwQQgghKlejIKpt27bs2LEDgEAgwJdffsmvf/1re31eXl6V87aJuhUIT/ui6wojVHmfqNKDbDbEcPhCCCFEc1ajIOqiiy7irrvu4pNPPmHatGnExMRw1lln2es3bdpE586d67ySomKRaV8cmoFpWvMmVRREBWV4AyGEEKLO1GiIgwcffJDLL7+cwYMHExcXx8KFC6Mu2PPmzeOCCy6o80qKipVuzjNNJ5qm4XCUPwmlDG8ghBBC1J0aZaKSk5NZs2YNhw8f5vDhw/zmN7+JWr906VJmzJhRpxUUlbMzUbqBYTpwu90VNtXJ8AZCCCEa05o1axg+fDipqalomsby5curve2///1vnE4nvXv3tpcNHz6cCy+8sNzyn3zyCZqmsWnTpmOsdcVqNWJ5YmJiudmOli1bVnp7vah7wXCfqEhzXnVGK5fhDYQQQjSGgoICevXqxZw5c2q03ZEjRxgzZkyZQb0zMzNZuXIlu3btKrPN/Pnz6d+/P6effvox1bkyMnlaExcyI32iTEzTUWHHfqMgiFkYAiSIEkII0TiGDRvGQw89VKYlqyo33XQT11xzDenp6VHLL7nkElq3bl1m4uL8/HyWLl1KZmbmsVa5UhJENXGhcCbKqVeeiYo05TkSPeju8vtMCSGEaJqUUgQCgQZ/KKXq/dzmz5/PDz/8UG53IafTyZgxY1iwYEFUXZYuXYphGIwaNape61arufPE8SNoRprzQpiGE5+36uENhBBCNC/BYJBHHnmkwY97991312s3nu+++84eFcDpLD9kmTBhAo899hgff/wxQ4YMAazA64orriAxMbHe6gaSiWryQuGO5ZFMVEXNefZ0LxJECSGEaAIMw+Caa67h/vvv55RTTqmwXNeuXRk4cCDz5s0DYPv27XzyySf13pQHkolq8kJGqUxUpc15MkaUEEI0Vy6Xi7vvvrtRjltf8vLyWLduHRs2bGDSpEkAmKaJUgqn08kHH3zAueeeC1gdzG+77TbmzJnD/Pnz6dy5M4MHD663ukVIENXEGeGO5c4q7s4rGd5AxogSQojmRtO0Znd3fEJCAps3b45a9txzz/Hhhx/y2muvkZaWZi+/6qqrmDx5MosWLeLll1/m5ptvbpCZOSSIauIMu2N5qMLmPGUoQuGJh6U5TwghRGPJz89n+/bt9vMdO3awceNGWrZsyS9+8QumTZvGzz//zMsvv4yu6/To0SNq+zZt2uD1esssj4uLY+TIkUybNo3c3FzGjRvXEKcjfaKaOiPcsdxVSXNe6HAxGArNpeNI9DR0FYUQQggA1q1bR58+fejTpw8AU6ZMoU+fPkyfPh2APXv2kJWVVat9Z2ZmcvjwYTIyMkhNTa2zOldGMlFNXCSIcupBTNNZfhAVacpr5UPTZeJhIYQQjWPIkCGVDotw9HhPR5s5cyYzZ84sd116enqDDLlQmmSimrhIc16lmSi5M08IIYSocxJENXFmpGO5HsQwyu8TZRz2W2Vaehu0bkIIIURzJkFUE2dWt08U4GghQZQQQghRVySIauIiQZSTEKCXG0QZ4SDK2UI6lQshhBB1RYKoJi7Sh86lWZMLH92cp5QiFG7Ok0yUEEIIUXckiGriSjfnAWUyUaoohPIbgGSihBBCiLokQVQTZpoKwpkop7I6mB8dREWyUHqcC83laND6CSGEEM2ZBFFNWDB8Zx5E+kSVbc4r6Q8lTXlCCCFEXZIgqgmLTD4M4KD85rySO/OkKU8IIYSoSxJENWGlgyinsvo9HR1E2WNESSZKCCGEqFMSRDVhUc154SDq6OY8GSNKCCHE8WLNmjUMHz6c1NRUNE1j+fLlVW7j9/u55557OOmkk/B4PHTq1Il58+YBcNttt9GtW7dyt8vKysLhcPDWW2/V5SlEkSCqCQsaVhClNHCYCqfTia5Hv6UyRpQQQojjRUFBAb169WLOnDnV3uaqq65i1apV/O1vf2Pbtm3885//5NRTTwWsSYe3bt3KZ599Vma7BQsW0KZNGy666KI6q//RZALiJsxuztM0dFPhOHp4AxkjSgghxHFk2LBhDBs2rNrlV6xYwccff8wPP/xAy5YtAejUqZO9vnfv3vTt25d58+YxcOBAe7lSigULFjB27FiczvoLdSQT1YRFMlHooJuq7ECbMkaUEEKcEJRSGEZhgz+UUlVX7hi89dZb9O/fn0cffZT27dtzyimncOedd1JUVGSXyczM5NVXX6WgoMBetnr1anbs2MGECRPqtX6SiWrCQmZJJkozZYwoIYQ4UZlmEas/7tngxx0yeDMOR0y97f+HH37g008/xev18sYbb3DgwAFuueUWDh48yPz58wG45ppr+P3vf8/SpUsZN24cAPPnz2fQoEGccsop9VY3kExUk2ZnojTQDVPGiBJCCNGsmKaJpmn84x//4IwzzuCiiy7iiSeeYOHChXY2Kikpicsvv9zubJ6bm8vrr79OZmZmvddPMlFNWDDSJ0rX0E2tkjvzpClPCCGaM133MWTw5kY5bn1q164d7du3JzEx0V7WrVs3lFLs2rWLLl26AFaT3nnnncf27dv56KOPcDgcXHnllfVaN5AgqkkLhqz+TkoDrZw+UaFD4UxUS8lECSFEc6ZpWr02qzWWM888k6VLl5Kfn09cXBwA3377Lbqu06FDB7vcOeecQ1paGvPnz+ejjz7i6quvJjY2tt7rJ815TVhxqCQTpRkVD7Qpd+YJIYQ4HuTn57Nx40Y2btwIwI4dO9i4cSNZWVkATJs2jTFjxtjlr7nmGlq1asX48eP55ptvWLNmDVOnTmXChAn4fCVZME3TmDBhAs8//zxr165tkKY8kCCqSSsIWVO9oGtooYoH2pQ+UUIIIY4H69ato0+fPvTp0weAKVOm0KdPH6ZPnw7Anj177IAKIC4ujpUrV3LkyBH69+/Ptddey/Dhw3n66afL7HvcuHHk5ORw2mmnMWDAgAY5H2nOa8KKgqWHOIgOopRSpTJR0idKCCFE4xsyZEilwyIsWLCgzLKuXbuycuXKKvfdoUMHDMM4lurVmGSimrDicJ8odA2M6I7lZmEIFQiPEZUkQZQQQghR1ySIasIKI5koTaFMZ1QQFRneQI+XMaKEEEKI+iBBVBNWFM5E6TqYpiOqY3lkoE3pDyWEEELUDwmimrDikJWJ0nSFaTrKzUTJnXlCCCFE/ZAgqgkrDlqZqPKCqJI786Q/lBBCCFEfJIhqwort5jwTo0wmSsaIEkIIIeqTBFFNWKQ5T9cVpuE8qk+UjBElhBBC1CcJopowvx1EmZhKtzNRMkaUEEIIUf8kiGrCIkGUQzMwjZIhDlSRjBElhBBC1DcJopqw4lAQAIduRnUsD+UEANBjnTJGlBBCCFFPJIhqwvzBko7lpceJMnLCTXkJkoUSQghx/FizZg3Dhw8nNTUVTdNYvnx5ldv84x//oFevXsTExNCuXTsmTJjAwYMHAbjtttvo1q1budtlZWXhcDh466236vIUokgQ1YT5wxMQO3QDVapPlJEbCaLcFW4rhBBCNLSCggJ69erFnDlzqlX+3//+N2PGjCEzM5Ovv/6apUuX8sUXX3DDDTcAkJmZydatW/nss8/KbLtgwQLatGnDRRddVKfnUJpMQNyEBcJ9opy6AZTMnWeEm/MciZKJEkIIcfwYNmwYw4YNq3b5tWvX0qlTJ26//XYA0tLSuPHGG/nzn/8MQO/evenbty/z5s1j4MCB9nZKKRYsWMDYsWNxOusv1JFMVBMWDI8T5dCsn5EgyswNB1GSiRJCiBOCUooCw2jwh1KqXs8rPT2dn376iffeew+lFHv37uW1116Lyi5lZmby6quvUlBQYC9bvXo1O3bsYMKECfVaP8lENWFBI5yJ0gx0XcfhsDqRlzTnSSZKCCFOBIWmSec1mxv8uN+f3ZNYR/3dwHTmmWfyj3/8g5EjR1JcXEwoFGL48OFRzYHXXHMNv//971m6dCnjxo0DYP78+QwaNIhTTjml3uoGx0kmas6cOXTq1Amv18uAAQP44osvKi2/dOlSunbtitfrpWfPnrz33ntR65VSTJ8+nXbt2uHz+Rg6dCjfffddVJlDhw5x7bXXkpCQQFJSEpmZmeTn59vrd+7ciaZpZR7/+c9/6u7Ej1EkiHLoRtRAm5HmPD1RMlFCCCGarm+++YbJkyczffp01q9fz4oVK9i5cyc33XSTXSYpKYnLL7+cefPmAZCbm8vrr79OZmZmvdev0TNRS5YsYcqUKcydO5cBAwYwe/ZsMjIy2LZtG23atClT/rPPPmPUqFHMmjWLSy65hEWLFjFixAi+/PJLevToAcCjjz7K008/zcKFC0lLS+O+++4jIyODb775Bq/XGsH72muvZc+ePaxcuZJgMMj48eOZOHEiixYtijrev/71L0477TT7eatWrerx1aiZUCQThRE95YtkooQQ4oQSo+t8f3bPRjlufZo1axZnnnkmU6dOBeD0008nNjaWs846i4ceeoh27doBVpPeeeedx/bt2/noo49wOBxceeWV9Vo3OA4yUU888QQ33HAD48ePp3v37sydO5eYmBg7ojzaU089xYUXXsjUqVPp1q0bDz74IH379uXZZ58FrCzU7Nmzuffee7nssss4/fTTefnll9m9e7d9K+WWLVtYsWIFL730EgMGDGDQoEE888wzLF68mN27d0cdr1WrVqSkpNiP0sFKYwsaVlu0UysJolTQxCy07tpzSiZKCCFOCJqmEetwNPhD07R6Pa/CwkL0owK1SNeV0v2xzjnnHNLS0pg/fz7z58/n6quvJjY2tl7rBo0cRAUCAdavX8/QoUPtZbquM3ToUNauXVvuNmvXro0qD5CRkWGX37FjB9nZ2VFlEhMTGTBggF1m7dq1JCUl0b9/f7vM0KFD0XWdzz//PGrfl156KW3atGHQoEFVjjXh9/vJzc2NetQnIxxEOUoFUZEsFE4dzdfoiUYhhBDClp+fz8aNG9m4cSNgXbM3btxIVlYWANOmTWPMmDF2+eHDh7Ns2TKef/55fvjhB/79739z++23c8YZZ5CammqX0zSNCRMm8Pzzz7N27doGacqDRg6iDhw4gGEYtG3bNmp527Ztyc7OLneb7OzsSstHflZV5uimQqfTScuWLe0ycXFxPP744yxdupR3332XQYMGMWLEiEoDqVmzZpGYmGg/OnbsWNVLcEzCN+fhpKRPlBG5My/RXe/fEIQQQoiaWLduHX369KFPnz4ATJkyhT59+jB9+nQA9uzZYwdUAOPGjeOJJ57g2WefpUePHlx55ZWceuqpLFu2rMy+x40bR05ODqeddhoDBgxokPORVEUFkpOTmTJliv38V7/6Fbt37+axxx7j0ksvLXebadOmRW2Tm5tbr4GUaYab8yibiZLhDYQQQhxvhgwZUumwCAsWLCiz7LbbbuO2226rct8dOnTAMIxjqV6NNWomKjk5GYfDwd69e6OW7927l5SUlHK3SUlJqbR85GdVZfbt2xe1PhQKcejQoQqPCzBgwAC2b99e4XqPx0NCQkLUoz5FmvNcpZvzIgNtSqdyIYQQol41ahDldrvp168fq1atspeZpsmqVatIT08vd5v09PSo8gArV660y6elpZGSkhJVJjc3l88//9wuk56ezpEjR1i/fr1d5sMPP8Q0zUpTgBs3brTvBDgemNbNeUdlokqa84QQQghRfxq9OW/KlCmMHTuW/v37c8YZZzB79mwKCgoYP348AGPGjKF9+/bMmjULgMmTJzN48GAef/xxLr74YhYvXsy6det44YUXAKtz2R133MFDDz1Ely5d7CEOUlNTGTFiBADdunXjwgsv5IYbbmDu3LkEg0EmTZrE1VdfbXdUW7hwIW632263XbZsGfPmzeOll15q4FeoYiVBVKhUnygZ3kAIIYRoCI0eRI0cOZL9+/czffp0srOz6d27NytWrLA7hmdlZUXd3jhw4EAWLVrEvffey913302XLl1Yvny5PUYUwB/+8AcKCgqYOHEiR44cYdCgQaxYscIeIwqsWaEnTZrEeeedh67rXHHFFTz99NNRdXvwwQf58ccfcTqddO3alSVLlvDb3/62nl+R6lPhpl8X5TXnSSZKCCGEqE+aqu+Jb05gubm5JCYmkpOTU+f9o0xTcfLd1kjtF/X8gsvbnsXQoUPZ86cvMI74aX1zLzwn1W+fLCGEEA2vuLiYHTt2kJaWFpUcEDVT2etY3et3ow+2KWonEB6tHEoyUcpUGHmSiRJCCCEaggRRTVSwVBDlUCYulwuzMAiRATjjJYgSQggh6pMEUU1UIFQqE2VaHcvtiYfjXGhOeWuFEEKI+iRX2iYq0pynNHAocLlcMtCmEEII0YAkiGqi7EyUrqEbKhxEyUCbQgghREORIKqJKgmiQDdUuDkvnImSgTaFEEIcZ2bNmsWvfvUr4uPjadOmDSNGjGDbtm1Vbrd06VK6du2K1+ulZ8+evPfee/a6nj17ctNNN5W73SuvvILH4+HAgQN1dg5HkyCqifKXykRphjX6u2SihBBCHK8+/vhjbr31Vv7zn/+wcuVKgsEgF1xwAQUFBRVu89lnnzFq1CgyMzPZsGEDI0aMYMSIEXz11VcAZGZmsnjxYoqKispsO3/+fC699FKSk5Pr7ZwkiGqi7D5R4ea8qCBKMlFCCCGOMytWrGDcuHGcdtpp9OrViwULFpCVlRU1BdvRnnrqKS688EKmTp1Kt27dePDBB+nbty/PPvssAKNHj6aoqIjXX389arsdO3awevVqMjMz6/WcGn3EclE7gXIyUYEcmfJFCCFOREopioJGgx/X53KgaVqtts3JyQGgZcuWFZZZu3YtU6ZMiVqWkZHB8uXLAUhOTuayyy5j3rx5jB492i6zYMECOnTowAUXXFCrulWXBFFNlP2fRQM9HEQVSSZKCCFOSEVBg+7T32/w437zQAYx7pqHEqZpcscdd3DmmWdGTdt2tOzsbHsauIi2bduSnZ1tP8/MzGTYsGH26ONKKRYuXMjYsWOjpo2rD9Kc10QVRIKocCbKpTlQRSFAMlFCCCGOb7feeitfffUVixcvPuZ9nX/++XTo0IH58+cDsGrVKrKyshg/fvwx77sqkolqogpLB1EhDb3QGqlcc+loXkcj1kwIIURD87kcfPNARqMct6YmTZrEO++8w5o1a+jQoUOlZVNSUti7d2/Usr1795KSkmI/13WdcePGsXDhQmbOnMn8+fM555xzOPnkk2tct5qSTFQTVVRqiAOXw4MZmTMv0VPr9mkhhBBNk6ZpxLidDf6oyfVGKcWkSZN44403+PDDD0lLS6tym/T0dFatWhW1bOXKlaSnp0ctGz9+PD/99BPLli3jjTfeqPcO5RGSiWqiCgNW0KTpCqcjxp54WJc584QQQhyHbr31VhYtWsSbb75JfHy83a8pMTERn88HwJgxY2jfvj2zZs0CYPLkyQwePJjHH3+ciy++mMWLF7Nu3TpeeOGFqH2npaVx7rnnMnHiRDweD5dffnmDnJNkopqowmAQCAdRTh9GrvXcEe9qzGoJIYQQ5Xr++efJyclhyJAhtGvXzn4sWbLELpOVlcWePXvs5wMHDmTRokW88MIL9OrVi9dee43ly5eX2xk9MzOTw4cPc8011+D1ehvknCQT1UQVBa3hDHRd4XL57EyUQzJRQgghjkNKqSrLrF69usyyK6+8kiuvvLLKbUeNGsWoUaNqU7Vak0xUE1UUtO7E0zWF212qT5RMPiyEEEI0CAmimqhIEKXppjVaeaRPVJwEUUIIIURDkCCqiSoOhTNRuooKoiQTJYQQQjQMCaKaqOLwOFEOzcpEmdInSgghhGhQEkQ1Uf6QFUTpuonL6cIsDGemJIgSQogTQnU6aouK1cXrJ0FUExUIlWSiXJGbLB0auk9uuBRCiObM5bKGsiksLGzkmjRtkdcv8nrWhlxxmyi/YY1Y7tAMXMqKhR1xLjRdRisXQojmzOFwkJSUxL59+wCIiYmRmSpqQClFYWEh+/btIykpCYej9lOlSRDVRAVDVhrSoZk4DSuIkqY8IYQ4MUTmjosEUqLmkpKSoubgqw0JopqoQDgTpesmzlA4EyVBlBBCnBA0TaNdu3a0adOGYHgGC1F9LpfrmDJQERJENVFBw8pEOTFxhv//SBAlhBAnFofDUSfBgKgd6VjeRIX7lePQDBwBqy1cmvOEEEKIhiNBVBMVMkr6RDmKrGWSiRJCCCEajgRRTVRJJsrEURz+XYIoIYQQosFIn6gmKmT1K8eJgaPABBzo8bUf60IIIUT9C4U7gTscDjQ9Oo9hGgZBv59QwI8RCmIaJqZhoEzD+qmUNUBkeJBIZZqYpomKPFC4PF48MTF4YmJxx8SiaRrF+XkU5+dbPwvy0DQdT0ws3rg4PDGxOFwu/AUF4fX5FBfkowwDh9uN0+3G6XKj6w6CAT9BfzHB4mKCfj9GMBBdB6VKPTcwTRMNcLjC+wk/zJBBoLiIQFERweIiQsEALq/PqrcvBndMLKZhlNQnLxd/UREuj8de7/H5cMfEcmr6IDwxsQ39NtokiGqiDEMBGg5M9MLwmFEyb54QogqmYWAYIZxOV5mLuBEKEQr47QukaVgXQhX5aZqYplHm4m2vMwx0hwOH04nudOJwOtE0nZDfT8AfuWgWo+k6npgY3D7rYu9wOinOz6MoP4/ivDyK8nJRpok7Egz4fDjdHuuCGi5TnJ9HMODH4XTicLpwuFw4nE6MYJCg30+g2DpWKBiA8MVdAShV6pxKgpPS+3G63JimSTC8j0BxEaGAH6fbU6pOMWhQUqfwBd/hdOHyenF7fbi8PjRNwx8OTIrz8wkF/PbrrTvCr5GuEwoEMI1Qg34WmoNOvfpIECVqzjCtzuROSsaJcsRJECXE0SLfjg0jhBkyMEJWJsDl8eB0e+xBCpVSBP3FFOXmUJibQ7C4OOpi6Pb5MIJBCnNz7DL+ggI0XUPXHehOJ7qu2xffQFERgeJigv5iTCOEaYS/nRslwYgZCoUv5Ca6Q7cu4uEABLAv4MHiYoLFRegOJ26fz6qTz2cFHwUFFOflWgFIfh4o69xcXh9urxdN1+0LeHF+HoGiklGuNV3H4XKh2xdxo+HfoOYop3rFrM9FOYGTpllBrsOB7tDRdStrpek6Wng9moamaeiR5ZoOmhb+7BUSKCqK2p83JhZvXDzeuDiUwgrsCgvwF+SjTNPKYMXF4Y2NwxsXh+5wYgQDhAIB+7Ph9HhwebzW58vjxel2o+k6uq6H62P9rjkcdr1QilAwYAW3gQChcOBb+v+Vw+ki6C/GX1hAoLAQf1Ehmqbhi4vHG59gZcx8MQQDAQKFBfiLiqyfhQV4YuLq4h2rNQmimigz0icKAxcO9BgnmlO6uIm6pUwTIxQKP4Io0wz/0XTYfzyDAb/1h6+wAH9hYfgbu9v+Y+v0eAkWF1GUlxt+5OEvyMfhdOLyenG6Pbg8HkKBAEV5eRTnW+WK8/NRUHKh0DQMwyiVHSgdoEQCEisbEglazHC2gUrmyHJ6PLjcnpKsxQlEmSYhv7/Mck3TcbhdVnDosB6Ri7he+qdWeplVxspIhezPjXWB9uDyeq2Hx4tSKuqCaYZC1sU7fMH0xSWgO/Soi2UoEMATG4svLgFvfDy+uHicHo+VWQsGrUcohMPlwu314vR4cXu9OFzuUhf58J3M4fPRHQ503QGahhmy9hEKBTGCIXSHbgeiLo8Pp9tN0F9MoKgQf2EhgaJClKnwxcfbwYknJg7TCFmfzfDn1DBCeOOs+nrj4vDExqFpOkYoaDXZhUIlAYrbCkwcLtcxj0BumgbB4mJM08QTE2OdZ3mfAaUwDQOHU8KB2pBXrYkyw32i3Ch0dBneoBlRShHy+ykuzMcMGVF9CTRNpygvNyobEgoEcLpcONxuXC43msNBcX4+hblHKMzJoSj3CP5C65ud/Y0VCBYXhb+JFuAvzA//wTcwQ8FwxiaEUmYjvxr1L+T3RwUSTpcbX0Iibp8vfNG0skqmEYLwt2NfQiIxCYl4YuMAFRXAabqOO3Lx9cXg8njsJpvSGQWHIxKgOO3gIxKsmqEQChX+tl6SDTONUDjDZdXJCAbs4MP61h6PpulWNiIcZCrDCF/krYu4Ny4eh9NJKGgdx+p7U+oiHqmvTCPSpOm6o1rNXJqmSQB1DOSVa6IiQZRLCw91ECedyutD5KJY+oJiGgaFuTkUHD5EQc5hCnNy7M6Wkf4koYDfToOHAgErLR4MWmntgPVTmaUCFE1DmQaBoiKK8/OP374RmlZuVsfl8Vp9RXwxuLxeQoFASQfUgB+314cvPsH6Rh6fgCc2FjMUIugPd1T1W9mrSPreF5+ANzYu3BxgdVg1TROHw4HL67Obq6wAxWVnS6wmNQe603HUT6cVtDhLRikOBvx2B9mQvxiX14cvIQGXx1tuABEKBu2mlebA7WvsGgjR9EkQ1USpUpkoAF36Q2EaBv6iQgKFhQSLizDCaXLTsLIqxQV5FOXmWhmcvBwCRUXh5ggrza9pGkX5+RQeOUzBkUMUHDls9yuwU/8OJ0F/caXNQ3XFylY4yzYxhbMhMYlJ1kXf7bECtHDgZoYzDzEJicQkJuJLSMITEwOU9A9SSuH2+fDGxOKJjcMdE4Pb6yvpEOxwWh2EXZE+Oi77bqKojsSmYd250wRHTLayRdWPJJzHMNO7EKJ5kiCqCbIuhNbvnvC1vLlkopRSBIoKw31j8uwOs5G+NMX5Vl+Zkk6RBeG+OAXl9u2os3qZJoZpYoRvT9Y0nZikJGITWxCTmGg3uzjdnnCziNv63e22bu91uazfw7cLO11Wp9HwSRPeKZ6YWPvW40hGRCll3zWlTBNPbGyjZkM0XcehS/87IYSQIKoJCpnW8AYArvD1Vz/Og6hgwE/+oYMltwuHf+Ye2M+R7D0c2Ws98g7sP+Y7hJxuqxOrw+ksaeZxOPHGxuFLSMQXn0BMQgJuXzg7Ex5fRZkKT0wssS1aEJfUkpikFvji4+2Ol2b47i6X14svIaHBAhlN06wgTDIhQghxXJEgqgkKhEr60viUFUwdD8MbBIuLKcg5QsGRwxQcPsjBXT9xIGsn+3/6kSN7dteok7LT7bHuwIl0mo1PCN8FY929442NwxMbizc2DndMLN5Ya9yWyO2yQgghRH2TIKoJKh1EecK/6rENFzgopcjdv489321lz/Zv2fPdVg78lEWwuKjS7SKdj0s6BXuJa9mKFintSGybQou2qSS0aYMvIRGX29NAZyOEEELUjgRRTVDAsCInBXhDVpNSfTbnhQIB9u74nt3fbmH3ti3s/nYLhTlHyi3rdHuITUoiJjGJlqkdSO54Esm/6ETyLzoRm9RCbpsWQgjRbEgQ1QTZmShdwx2on+a8YMDPD+v/y5ZPP2LnxvUYoehb7nWHg9YnnUy7LqfSrsuptE37JfGtWtnTHAghhBDNnQRRTVAkE4UO7qD1FtZVJmr3t1vY/OEHfPuff0dNDxGTmETqKd1IPaUr7U7pStuTfylNbkIIIU5oEkQ1Qf5gOCuka3gNJ5pLR3cf251iP32zmf+8/k+yvtpkL4tPbk23QUPoduZgWnU8STJMQgghRCkSRDVB/sjgi7qGJ+g8pixU1lf/Y+1r/2TXlq+sXTqcdBs0hB5DhtK+a/cys7wLIYQQwiJBVBNUFCgGQOngM9w4kmreHyroL+ajhS+yedX7ADicTnqcm8EZl11BQnKbOq2vEEII0RxJENUEFYSDKHQNT8BR40zUvp0/8O7Tj3Ho559A0+h9wUWcMeJK4lsm10NthRBCiOZJgqgmqKBUc16s6az2GFFKKTa+/w4f/30eRjBIbIuWXDTp9/yiR696rK0QQgjRPEkQ1QQVROaI0zV8pl6t4Q2UUnz893msf+cNAE7u+ysybr6DmITE+qyqEEII0WxJENUEFYQnwUUDr6pec96/l/zdDqAGj55Av0t+I3fbCSGEEMdAgqgmqCgcRGm6wokDRxVB1H9eX8znbywB4NwJN9En45J6r6MQQgjR3Mn9601QYXicKE1XuHBU2idq3dvL+PerfwesDJQEUEIIIUTdkCCqCbIzUZrCpRw44svvE/X9+s/5+O/zADhz5HX0H355g9VRCCGEaO4kiGqCCvxWJkoPN+eVl4k6nL2b/3v2CQB6Z1zCry8f2aB1FEIIIZo7CaKaoKJQSRDl0HT0mOggKhjw89bjj+AvLCD1lG4MGZPZGNUUQgghmjUJopqg4oABgK4pHDEuNEf0XXabV33AgaydxCQmMfx3d+Fw1s3kxEIIIYQoIUFUE1QcCgdRukKPje4PpUyTje+/DUD6FaOIa9mqwesnhBBCnAgkiGqC/CEFgK6ZZYY32LlpA4f37Mbti6H74HMbo3pCCCHECUGCqCYoEA6iHJoqM9Dmhv97C4Ae55yP2+tr8LoJIYQQJwoJopqggFESRJWe8uXwnp/ZsXG9NalwxsWNVT0hhBDihCBBVBMUtLpE4dDMqOENNrz/DgAn9+lPi5TUxqiaEEIIccKQIKoJCprWTyclzXmBokK+Xv0vABmVXAghhGgAEkQ1QSHTGtLAqSm7Y/nXaz4kUFREi9QOnHR6n8asnhBCCHFCkCCqCQqPcBDORLlRpsmGFVZTXp+Mi9F0eVuFEEKI+iZX2ybICGeiXIAj1sWPmzdyePcu3D4fpw0+r3ErJ4QQQpwgJIhqgkqCKKtP1IYV1uCapw0ZitsX05hVE0IIIU4YEkQ1QZEgyo1GzuF9/LBhHQC9L5AO5UIIIURDkSCqCTKVFUR5NI3/rXwXlCKtdz9aprZv5JoJIYQQJw4Jopogw7TeNo9DY/OHKwHoc+HwxqySEEIIccJxNnYFRM2ZkT5RpkmgqJAW7VLp1KtvI9dKCFFXlFKVrLTWK4DwmHFo1kMD0DSIrFfhB6XKUaps9G6jfymnCiqysJLq2Yc1VfhcSh06fFBN00rOUZVTxaMrVxOqgqcquj4VbatQKLNkkWa/tuEXLVzGeh/KlqtNHcstUkGZSj8bpfavVNmyWvjFDX9EAFXucbQK34TowtWpSklZVf55lz5M5LN91OdW08upt1my36S2MWjasXxoau+4CKLmzJnDY489RnZ2Nr169eKZZ57hjDPOqLD80qVLue+++9i5cyddunThz3/+MxdddJG9XinFjBkzePHFFzly5Ahnnnkmzz//PF26dLHLHDp0iNtuu423334bXde54ooreOqpp4iLi7PLbNq0iVtvvZX//ve/tG7dmttuu40//OEP9fMi1IAKB1G6vxiA3hmXVDmsgTIVAb+BvzBIyG8SChoE/QahgIkRNDEMEyNkYoaU9dNUKFNhGqrs7+GfUX9MoOQ/gKlK/gPb644qV/oPVak/+JH/INjlSvYb2U255Uv//yxV1i5f7h+Ukj/kVl3K/4MS9Tqqkv2XWW7/Xv5Oov8wlBzLLl7JdiV/WCr4ixd1ziVlNPuqVXqHdg2inldcZ1VS7OhNKnnBIuerot6csnWJek9LF6nuH8XS9atuHY/+bJWqon39CF84y3yO7Upq1bjMlF+H8suUt1AIUZWbnh2Cw3mCBlFLlixhypQpzJ07lwEDBjB79mwyMjLYtm0bbdq0KVP+s88+Y9SoUcyaNYtLLrmERYsWMWLECL788kt69OgBwKOPPsrTTz/NwoULSUtL47777iMjI4NvvvkGr9cLwLXXXsuePXtYuXIlwWCQ8ePHM3HiRBYtWgRAbm4uF1xwAUOHDmXu3Lls3ryZCRMmkJSUxMSJExvuBSpHJBOlBwLEtUrmtMFDKcoPcCArnyP7Csk7VEzeoWLyDxVTmBvAXxgiUBSq0bcGIU5U1Qh3wquUxD2i4ZXzvag0hfUFUQPQS75I2V9mIl8cImVKf2Eo/Q1EVXKQcutTTnrTrlCZ4uUX0606afY/2P/P7C90mpWRinzR0sLZwcaiqWrlBuvPgAED+NWvfsWzzz4LgGmadOzYkdtuu4277rqrTPmRI0dSUFDAO++8Yy/79a9/Te/evZk7dy5KKVJTU/n973/PnXfeCUBOTg5t27ZlwYIFXH311WzZsoXu3bvz3//+l/79+wOwYsUKLrroInbt2kVqairPP/8899xzD9nZ2bjd1iS/d911F8uXL2fr1q3VOrfc3FwSExPJyckhISHhmF6nCNMw6XzfeyhT4+JWuzjjkI9gcTv8RY5qba9pCofTRHcoHA6Frlu/65pC00HTw79HnmvWx0PXVfiDbf20Pt/qqNS7sj/3mqbKNhnY/9nUUc+PWlfO/7LopIQqKaKV/r388y27fcXlKi9UzmFKbaeVLVrBsSK/HXXMSv442vUraVEou4vSr7dWzvpyjnV0Aa28DSo4maqbXY7+fJRZXap5p5yF2H8zq6FsvavcTlX9uqrwpeXoz3LU0cq72Bz9Xlb18dKOflrJBuX8v4nKvoXrE/1ZCC8sVa5aL2u5hcr/zJdeq0XVMXJQLfr1PfrCqilQmr26RlUqUygqNVzhPo5eo5X5PB61+dH1rqhcHWmkFqpGUrsX0KHrdP/NeHRn3eaEqnv9btRMVCAQYP369UybNs1epus6Q4cOZe3ateVus3btWqZMmRK1LCMjg+XLlwOwY8cOsrOzGTp0qL0+MTGRAQMGsHbtWq6++mrWrl1LUlKSHUABDB06FF3X+fzzz/nNb37D2rVrOfvss+0AKnKcP//5zxw+fJgWLVqUqZvf78fv99vPc3Nza/aCVEOgOGD/Z3WZSeQfbm2v8xXuJbYwG2/xIevhP4zHfwRnqBBnqAhnqAiHGazzOgkhhBCNJTTsStxxSY1y7EYNog4cOIBhGLRt2zZqedu2bSvM9mRnZ5dbPjs7214fWVZZmaObCp1OJy1btowqk5aWVmYfkXXlBVGzZs3i/vvvr/iE64Db5+aGmMMUxOh0++YALXatxlf4E76in9FUMSr8ZdMMp2gDQMAFymV/ybN/Rhz9vDxNtdmiOufWmJrq61ot1cgE1XgbUa2kVrP+XNWjqv5eVCdhXd+O979pjaFzI/7haPQ+Uc3JtGnTorJkubm5dOzYsU6Poes699x3XZ3uUwghhBA116jjRCUnJ+NwONi7d2/U8r1795KSklLuNikpKZWWj/ysqsy+ffui1odCIQ4dOhRVprx9lD7G0TweDwkJCVEPIYQQQjRPjRpEud1u+vXrx6pVq+xlpmmyatUq0tPTy90mPT09qjzAypUr7fJpaWmkpKRElcnNzeXzzz+3y6Snp3PkyBHWr19vl/nwww8xTZMBAwbYZdasWUMwGIw6zqmnnlpuU54QQgghTjCqkS1evFh5PB61YMEC9c0336iJEyeqpKQklZ2drZRS6rrrrlN33XWXXf7f//63cjqd6i9/+YvasmWLmjFjhnK5XGrz5s12mT/96U8qKSlJvfnmm2rTpk3qsssuU2lpaaqoqMguc+GFF6o+ffqozz//XH366aeqS5cuatSoUfb6I0eOqLZt26rrrrtOffXVV2rx4sUqJiZG/fWvf632ueXk5ChA5eTkHMtLJIQQQogGVN3rd6MHUUop9cwzz6j/b+/eg6Kq3z+AvxdkF0QBGZSLIoIXKBJDEUay1ETF1KSbaHkDLMfLpFNmTTOG5lRUTo42jGYjoKUglkZTeUvBktBKsMDMC+KlBCnSWERT2ef3hz/OdOS6p11Y9vt+zezIOef5HD7PPns4j4ezS+/evUWv10tkZKQcPnxY2TZixAiZNWuWKj47O1sGDBgger1eQkND5csvv1RtN5lMsmzZMvH29haDwSCjR4+WkydPqmKqqqpk2rRp0qVLF3Fzc5OEhAQxGo2qmJ9++kmGDx8uBoNBevbsKSkpKWblxSaKiIio42nt+bvdPyfKnlnjc6KIiIjIulp7/uYfICYiIiLSgE0UERERkQZsooiIiIg0YBNFREREpAGbKCIiIiIN2EQRERERacAmioiIiEgDNlFEREREGrCJIiIiItKgU3tPwJ7Vfxh8dXV1O8+EiIiIWqv+vN3SH3VhE2VFRqMRAODv79/OMyEiIiJzGY1GuLu7N7mdfzvPikwmEy5duoSuXbtCp9NZdN/V1dXw9/fHxYsX7fbv8jFH+2DvOdp7fgBztBfMsfVEBEajEX5+fnBwaPrOJ16JsiIHBwf06tXLqt/Dzc3Nbg+GeszRPth7jvaeH8Ac7QVzbJ3mrkDV443lRERERBqwiSIiIiLSgE1UB2UwGJCcnAyDwdDeU7Ea5mgf7D1He88PYI72gjlaHm8sJyIiItKAV6KIiIiINGATRURERKQBmygiIiIiDdhEEREREWnAJspGpKamok+fPnB2dkZUVBS+//77ZuO3b9+OkJAQODs7Y+DAgfjqq69U20UEr732Gnx9feHi4oKYmBicPn3amim0yJwcP/zwQzz44IPo1q0bunXrhpiYmAbxs2fPhk6nUz1iY2OtnUazzMkxIyOjwfydnZ1VMR29jiNHjmyQo06nw4QJE5QYW6vjN998g0mTJsHPzw86nQ6fffZZi2Py8vIwePBgGAwG9OvXDxkZGQ1izD3GrcncHHfs2IExY8age/fucHNzw7Bhw7Bnzx5VzPLlyxvUMSQkxIpZNM/cHPPy8hp9rVZUVKjiOnIdGzvWdDodQkNDlRhbquNbb72FoUOHomvXrujRowfi4uJw8uTJFse15fmRTZQN2LZtG1544QUkJyejsLAQgwYNwrhx41BZWdlo/HfffYdp06YhKSkJRUVFiIuLQ1xcHEpKSpSYd955B2vXrsX69etx5MgRuLq6Yty4cbhx40ZbpaVibo55eXmYNm0acnNzUVBQAH9/f4wdOxa///67Ki42Nhbl5eXKIzMzsy3SaZS5OQJ3PlX33/M/f/68antHr+OOHTtU+ZWUlMDR0RFPPfWUKs6W6njt2jUMGjQIqamprYovKyvDhAkTMGrUKBw7dgyLFy/GnDlzVE2GlteGNZmb4zfffIMxY8bgq6++wtGjRzFq1ChMmjQJRUVFqrjQ0FBVHQ8dOmSN6beKuTnWO3nypCqHHj16KNs6eh3XrFmjyu3ixYvw9PRscDzaSh0PHjyIBQsW4PDhw9i3bx9u3bqFsWPH4tq1a02OafPzo1C7i4yMlAULFijLdXV14ufnJ2+99Vaj8VOmTJEJEyao1kVFRcncuXNFRMRkMomPj4+8++67yvarV6+KwWCQzMxMK2TQMnNzvNvt27ela9eusmnTJmXdrFmzZPLkyZaeqmbm5pieni7u7u5N7s8e67h69Wrp2rWr1NTUKOtsrY7/BkB27tzZbMzSpUslNDRUtS4+Pl7GjRunLP/X582aWpNjY+69915ZsWKFspycnCyDBg2y3MQsqDU55ubmCgC5cuVKkzH2VsedO3eKTqeTc+fOKetsuY6VlZUCQA4ePNhkTFufH3klqp3dvHkTR48eRUxMjLLOwcEBMTExKCgoaHRMQUGBKh4Axo0bp8SXlZWhoqJCFePu7o6oqKgm92lNWnK8W21tLW7dugVPT0/V+ry8PPTo0QPBwcGYN28eqqqqLDr31tKaY01NDQICAuDv74/Jkyfj+PHjyjZ7rOPGjRsxdepUuLq6qtbbSh21aOl4tMTzZmtMJhOMRmOD4/H06dPw8/NDUFAQnnnmGVy4cKGdZqjd/fffD19fX4wZMwb5+fnKenus48aNGxETE4OAgADVelut499//w0ADV53/9bW50c2Ue3szz//RF1dHby9vVXrvb29G/wuvl5FRUWz8fX/mrNPa9KS491efvll+Pn5qV74sbGx2Lx5M/bv34+3334bBw8exPjx41FXV2fR+beGlhyDg4ORlpaGnJwcfPzxxzCZTIiOjsZvv/0GwP7q+P3336OkpARz5sxRrbelOmrR1PFYXV2N69evW+T1b2tWrVqFmpoaTJkyRVkXFRWFjIwM7N69G+vWrUNZWRkefPBBGI3Gdpxp6/n6+mL9+vX49NNP8emnn8Lf3x8jR45EYWEhAMv8HLMlly5dwq5duxocj7ZaR5PJhMWLF+OBBx7Afffd12RcW58fO5k9gqiNpaSkICsrC3l5eaobr6dOnap8PXDgQISFhaFv377Iy8vD6NGj22OqZhk2bBiGDRumLEdHR+Oee+7BBx98gJUrV7bjzKxj48aNGDhwICIjI1XrO3od/9ds3boVK1asQE5Ojup+ofHjxytfh4WFISoqCgEBAcjOzkZSUlJ7TNUswcHBCA4OVpajo6NRWlqK1atX46OPPmrHmVnHpk2b4OHhgbi4ONV6W63jggULUFJS0q732TWGV6LamZeXFxwdHXH58mXV+suXL8PHx6fRMT4+Ps3G1/9rzj6tSUuO9VatWoWUlBTs3bsXYWFhzcYGBQXBy8sLZ86c+c9zNtd/ybGek5MTwsPDlfnbUx2vXbuGrKysVv0Qbs86atHU8ejm5gYXFxeLvDZsRVZWFubMmYPs7OwGvzK5m4eHBwYMGNBh6tiYyMhIZf72VEcRQVpaGmbMmAG9Xt9srC3UceHChfjiiy+Qm5uLXr16NRvb1udHNlHtTK/XY8iQIdi/f7+yzmQyYf/+/aqrFP82bNgwVTwA7Nu3T4kPDAyEj4+PKqa6uhpHjhxpcp/WpCVH4M47KFauXIndu3cjIiKixe/z22+/oaqqCr6+vhaZtzm05vhvdXV1KC4uVuZvL3UE7rzl+J9//sH06dNb/D7tWUctWjoeLfHasAWZmZlISEhAZmam6iMqmlJTU4PS0tIOU8fGHDt2TJm/vdQRuPOutzNnzrTqPzXtWUcRwcKFC7Fz504cOHAAgYGBLY5p8/Oj2beik8VlZWWJwWCQjIwM+eWXX+S5554TDw8PqaioEBGRGTNmyCuvvKLE5+fnS6dOnWTVqlVy4sQJSU5OFicnJykuLlZiUlJSxMPDQ3JycuTnn3+WyZMnS2BgoFy/fr3N8xMxP8eUlBTR6/XyySefSHl5ufIwGo0iImI0GmXJkiVSUFAgZWVl8vXXX8vgwYOlf//+cuPGjQ6R44oVK2TPnj1SWloqR48elalTp4qzs7McP35cienodaw3fPhwiY+Pb7DeFutoNBqlqKhIioqKBIC89957UlRUJOfPnxcRkVdeeUVmzJihxJ89e1Y6d+4sL730kpw4cUJSU1PF0dFRdu/ercS09Ly1NXNz3LJli3Tq1ElSU1NVx+PVq1eVmBdffFHy8vKkrKxM8vPzJSYmRry8vKSysrLN8xMxP8fVq1fLZ599JqdPn5bi4mJZtGiRODg4yNdff63EdPQ61ps+fbpERUU1uk9bquO8efPE3d1d8vLyVK+72tpaJaa9z49somzE+++/L7179xa9Xi+RkZFy+PBhZduIESNk1qxZqvjs7GwZMGCA6PV6CQ0NlS+//FK13WQyybJly8Tb21sMBoOMHj1aTp482RapNMmcHAMCAgRAg0dycrKIiNTW1srYsWOle/fu4uTkJAEBAfLss8+22w+zeubkuHjxYiXW29tbHnnkESksLFTtr6PXUUTk119/FQCyd+/eBvuyxTrWv9X97kd9XrNmzZIRI0Y0GHP//feLXq+XoKAgSU9Pb7Df5p63tmZujiNGjGg2XuTOxzr4+vqKXq+Xnj17Snx8vJw5c6ZtE/sXc3N8++23pW/fvuLs7Cyenp4ycuRIOXDgQIP9duQ6itx5O7+Li4ts2LCh0X3aUh0byw2A6vhq7/Oj7v8nSkRERERm4D1RRERERBqwiSIiIiLSgE0UERERkQZsooiIiIg0YBNFREREpAGbKCIiIiIN2EQRERERacAmioiIiEgDNlFERI2YPXt2g79wb0kPPfQQtm7dataY9evXY9KkSVaaERGZi00UEXVIs2fPhk6ng06ng5OTE7y9vTFmzBikpaXBZDL95/2vWbMGGRkZrYq9efMmvLy8kJKS0uj2lStXwtvbG7du3QIAfP7557h8+TKmTp1q1tjExEQUFhbi22+/1ZQTEVkWmygi6rBiY2NRXl6Oc+fOYdeuXRg1ahQWLVqEiRMn4vbt242OqW9kWuLu7g4PD49Wxer1ekyfPh3p6ekNtokIMjIyMHPmTDg5OQEA1q5di4SEBDg4OJg1Vq/X4+mnn8batWtbNS8isi42UUTUYRkMBvj4+KBnz54YPHgwXn31VeTk5GDXrl3KVSSdTod169bh0UcfhaurK9544w3U1dUhKSkJgYGBcHFxQXBwMNasWaPa992/zhs5ciSef/55LF26FJ6envDx8cHy5cuV7UlJSTh16hQOHTqk2s/Bgwdx9uxZJCUlAQD++OMPHDhwQPVrudaOBYBJkybh888/x/Xr1//LU0dEFsAmiojsysMPP4xBgwZhx44dyrrly5fjscceQ3FxMRITE2EymdCrVy9s374dv/zyC1577TW8+uqryM7ObnbfmzZtgqurK44cOYJ33nkHr7/+Ovbt2wcAGDhwIIYOHYq0tDTVmPT0dERHRyMkJAQAcOjQIXTu3Bn33HOPEtPasQAQERGB27dv48iRI9qeICKyGDZRRGR3QkJCcO7cOWX56aefRkJCAoKCgtC7d284OTlhxYoViIiIQGBgIJ555hkkJCS02ESFhYUhOTkZ/fv3x8yZMxEREYH9+/cr25OSkrB9+3bU1NQAAIxGIz755BMkJiYqMefPn4e3tzccHNQ/flszFgA6d+4Md3d3nD9/XtNzQ0SWwyaKiOyOiECn0ynLERERDWJSU1MxZMgQdO/eHV26dMGGDRtw4cKFZvcbFhamWvb19UVlZaWyPG3aNNTV1SnN2LZt2+Dg4ID4+Hgl5vr163B2dm6w79aMrefi4oLa2tpm50pE1scmiojszokTJxAYGKgsu7q6qrZnZWVhyZIlSEpKwt69e3Hs2DEkJCTg5s2bze63/sbwejqdTvVOQDc3Nzz55JPKTeLp6emYMmUKunTposR4eXnhypUrDfbdmrH1/vrrL3Tv3r3ZuRKR9bGJIiK7cuDAARQXF+OJJ55oMiY/Px/R0dGYP38+wsPD0a9fP5SWllrk+yclJeHQoUP44osv8N1336luCgeA8PBwVFRUNNpItTQWAEpLS3Hjxg2Eh4dbZL5EpB2bKCLqsP755x9UVFTg999/R2FhId58801MnjwZEydOxMyZM5sc179/f/z444/Ys2cPTp06hWXLluGHH36wyJweeugh9OvXDzNnzkRISAiio6NV28PDw+Hl5YX8/HyzxwLAt99+i6CgIPTt29ci8yUi7dhEEVGHtXv3bvj6+qJPnz6IjY1Fbm4u1q5di5ycHDg6OjY5bu7cuXj88ccRHx+PqKgoVFVVYf78+RaZk06nQ2JiIq5cudLgpnAAcHR0REJCArZs2WL2WADIzMzEs88+a5G5EtF/oxMRae9JEBH9L6moqEBoaCgKCwsREBDQ6nHHjx/Hww8/jFOnTsHd3d2KMySi1uCVKCKiNubj44ONGze2+G7Au5WXl2Pz5s1soIhsBK9EEREREWnAK1FEREREGrCJIiIiItKATRQRERGRBmyiiIiIiDRgE0VERESkAZsoIiIiIg3YRBERERFpwCaKiIiISAM2UUREREQa/B9wtn/Xsuy0qQAAAABJRU5ErkJggg==",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import gTdev\n",
    "allcurves = gTdev.gtfile(location='./data',\n",
    "                    key=\"vds\",#文件命名过滤器\n",
    "                    X_Axis='Vds',#DrainV列名\n",
    "                    Y_Axis='Ids',#DrainI列名\n",
    "                    Z_Axis='GateV',#GateV列名\n",
    "                    absY=True).curves\n",
    "\n",
    "from matplotlib import pyplot as plt\n",
    "import math\n",
    "plt.style.use('default')\n",
    "######绘制图像#####\n",
    "plt.title(\"Output Characteristic Curve\")\n",
    "plt.xlabel(\"DrainV(V)\")\n",
    "plt.ylabel(\"SourceI(A)\")\n",
    "#### 把xlim或ylim前的井号去掉，修改对应的值即可调整坐标范围 ###\n",
    "#plt.xlim(left=-2,right=0)\n",
    "#plt.ylim(bottom=1,top=2)\n",
    "\n",
    "count = 0\n",
    "colormap = {}\n",
    "for data in allcurves:\n",
    "    if abs(data.y[0]/data.y[-1])<1.1 and abs(data.y[0]/data.y[-1])>0.9:\n",
    "        continue\n",
    "    ctag = f\"{abs(float(data.info['Z'][0])):.1f}\"\n",
    "    if ctag in colormap:\n",
    "        cindex = colormap[ctag]\n",
    "    else:\n",
    "        cindex = count\n",
    "        colormap[ctag] = count\n",
    "        count+=1\n",
    "    plt.plot(data.x,\n",
    "            data.y,\n",
    "            label=ctag+'V',\n",
    "            color=f\"C{cindex}\")\n",
    "        \n",
    "from collections import OrderedDict\n",
    "handles, labels = plt.gca().get_legend_handles_labels()\n",
    "by_label = OrderedDict(zip(labels,handles))\n",
    "plt.legend(by_label.values(),by_label.keys())\n",
    "\n",
    "plt.show()\n"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "starEnv",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.10.13"
  },
  "orig_nbformat": 4
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
